Swe-SE-SCI

Navigating the academic Swedish software engineering landscape can be difficult. As a Swedsoft activity, I created Swe-SE-SCI to list all Swedish Software Engineering (SE) scholars with permanent positions (>=50%) at Swedish non-profit research organizations. The ambition is to maintain an index of all Swedish SE scholars with first-authored publications in SCI-listed SE journals, i.e., “SSS scholars”. Swe-SE-SCI mines DBLP publication lists to identify typical research topics of Swedish SE research organizations and apparent research interests of SSS scholars.

A reliable and updated index of academic SE in Sweden could bring several benefits. The primary goal is to constitute a gateway for industry to find expertise among researchers – hopefully supporting knowledge transfer, industry-academia collaboration, and more relevant research. Swe-SE-SCI can also be used to find academic partners in new research projects and suitable PhD committee members. The index can also help news media find experts when comments on specific topics are needed.

SE is a broad topic. Swe-SE-SCI organizes the expertise available in Sweden in a format inspired by the “yellow pages” in telephone directories. We tabulate SSS scholars per Knowledge Area (KA) defined by SWEBOK V3.0. By defining a one-to-one mapping between publication venues and KAs, we assign SSS scholars with 1st-authored publications to the corresponding KAs. Venues have primarily been identified using the “software engineering” filter available on Research.com.

Index Overview

  • Affiliations. The list summarizes 1st-authored SCI publications by SSS scholars currently affiliated with the organization. Topic modeling is used to extract apparent research directions.
  • SSS scholars that have 1st-authored publications mapped to one of the following SWEBOK KAs. All tables list the titles of the corresponding publications.
    • Software Requirements – elicitation, analysis, specification, and validation of software requirements as well as the management of requirements during the whole life cycle of the software product.
    • Software Design – the process of defining the architecture, components, interfaces, and other characteristics of a system and the result of that process.
    • Software Construction – detailed creation of working software through a combination of coding, verification, unit testing, integration testing, and debugging.
    • Software Testing – dynamic verification that a program provides expected behaviors on a finite set of test cases, suitably selected from the usually infinite execution domain.
    • Software Maintenance – problem and modification analysis, modification implementation, maintenance review/acceptance, migration, and retirement.
    • Software Configuration Management – identification of the functional and physical characteristics of a configuration item and controlling changes to those characteristics.
    • Software Engineering Management – planning, coordinating, measuring, monitoring, controlling, and reporting to ensure that software products are delivered efficiently and effectively.
    • Software Engineering Process – work activities accomplished by software engineers to develop, maintain, and operate software.
    • Software Engineering Models and Methods – using models as an approach to problem solving, e.g., notation and procedures for model construction and analysis.
    • Software Quality – the capability of a software product to satisfy stated and implied needs under specified conditions. This KA encompasses specific qualities such as software safety.
    • Software Engineering Professional Practice – the knowledge, skills, and attitudes needed to produce software in a responsible and ethical manner. Includes human factors and societal impact.
    • Software Engineering Economics – making decisions related to software engineering in a business context.
  • Individual SSS Scholars. Lists all SSS scholars and their apparent research interests based on a word frequency analysis of the titles of the publications (not only SCI-listed work).
  • Signature SSS Works. Presents the titles of all 1st-authored SCI-listed publications by the SSS scholars.
  • Bibliometrics. Presents statistics used to order SSS scholars. The two ratios show the fraction of papers that have been published in SCI-listed SE journals and 1st-authored papers, respectively.

Ordering in a Nutshell

Affiliations are ordered by the number of first-authored SCI publications by SSS scholars. Individual SSS scholars are ordered by their SSS rating – our in-house metric. In contrast to non-decreasing citation-based metrics, the SSS rating fluctuates as it promotes active research with a focus to publish in SCI-listed SE journals. A detailed description is available at the bottom of this page.

Monthly updates 2022

  • December: Added scholar Masud (MDU) specializing in software construction. One new signature work: Bucaioni – Model-based generation of test scripts across product variants: An experience report from the railway industry. (J. Softw. Evol. Process.)
  • November: Removed scholars Steghöfer (moved to industry) and Khakpour (Newcastle Uni). One new signature work: Bucaioni – Modelling in low-code development: a multi-vocal systematic review. (Softw. Syst. Model.).
  • October: Added new scholar: Gren (Chalmers). One new signature work: Klotins – Towards Cost-Benefit Evaluation for Continuous SE Activities (EMSE). Moved Borg from RISE to Admin.
  • September: Two scholars added: Linåker (RISE) and Wohlrab (Chalmers). Two new signature works: Wohlin – Is It a Case Study? (JSS) and Fucci – When Traceability Goes Awry (JSS)
  • August: No new first-authored publications to report. Fixed an affiliation typo. Refactored internal code and test.
  • July: Two new signature works. Torkar – A Method to Assess and Argue for Practical Significance in Software Engineering. (TSE) Alégroth – Practitioners’ best practices to Adopt, Use or Abandon Model-based Testing with Graphical models for Software-intensive Systems (EMSE)
  • June: Three new signature works. Wohlin – Combination of DB search and snowballing in SLRs (IST), Penzenstadler – Benefits of neuroplasticity practices for developers (EMSE), Olsson – SLR of empirical research on quality reqts (RE). Stig Larsson removed.
  • May: Added new scholar: Klotins (BTH). Loconsole moved to West University.
  • April: New signature work by Butler (Skövde): Considerations and challenges for the adoption of open source components in software-intensive businesses (JSS)
  • March: Saddest SWE-SE-SCI update ever. Russia started a war 1,000 km from here. Just before, Sweden lost our SE hero Ivica. Some other updates, but who cares in light of current events.
  • February: Two new signature works. Bjarnason: Inter-team communication in large-scale co-located software engineering: A case study. (EMSE) Bucaioni: Enabling automated integration of architectural languages: An experience report from the automotive domain. (JSS)
  • January: Added new scholar Besker (RISE). Two new signature works: Open Data Ecosystems by Runeson (JSS) and Copula-based Software Metrics Aggregation by Ulan (SQJ). New year => publications from 2011 dropped from “apparent contemporary interests”

Monthly updates 2021

  • December: Added two scholars: Strüber (Chalmers) and Asplund (KTH). Two new signature works in JSEP. 1) Wohlin: Evidence-based decision-making for assets in composite sw 2) Bosch: Study on digital transformation of companies in embedded.
  • November: Added missing scholars: Diego Perez-Palacin (Linneaus U) and Fredrik Karlsson (Örebro U). New signature paper by Wohlin: Guiding the Selection of Research Methodology in Industry-Academia Collaboration in Software Engineering (IST)
  • October: Added missing scholar Binish Tanveer, BTH.
  • August: Refactored the Swe-SE-SCI index – a new SAX parser. New signature work by Butler: On Company Contributions to Community OSS Projects (TSE). New 1st-authored paper by Baudry (repair bot).
  • July: Lavesson moved from Jönköping University to BTH. New 1st-authored papers: IEEE SW on software repair bot by Baudry. Testing by Alégroth, Borg, and Flemström. Covid-19 pair programming by Smite.
  • June: Added Hussan Munir, Malmö University. New 1st-authored architecture paper by Bucaioni: Aligning Architecture with Business Goals in the Automotive Domain. (ICSA)
  • May: New signature work by Wohlin: “Challenges and recommendations to publishing and using credible evidence in software engineering” (IST) Ronald Jabangwe returned to a position in industry. Good luck! (removed)
  • April: New signature works by Wohlin and Olsson! “Case Study Research in SE – It is a Case, and it is a Study, but is it a Case Study?” (IST) and “A Validated Model for the Scoping Process of Quality Requirements: A Multi-Case Study” (EMSE), respectively.
  • March: Stefan Cedergren moved to a position in industry. Good luck! (removed)
  • February: New signature work by Alégroth “Characteristics that affect preference of decision models for asset selection: an industrial questionnaire survey” (SQJ).
  • January: Added Ronald Jabangwe. Welcome back to Sweden and RISE in Lund! New signature work in STVR by Cyrille Artho (KTH): Model-based testing of Apache ZooKeeper: Fundamental API usage and watchers.

Monthly updates 2020

  • December: Neither any new scholars nor signature works. Good luck to Dr. Çalikli in Zürick! (removed)
  • November: Neither any new scholars nor signature works. KTH updated for completeness through first external pull request. Thx @martinmonperrus!
  • October: Bucaioni (MDH) added. Rose and Alenljung (both Skövde) identified and added. Three new works: “Guidelines to update SLRs”, Wohlin et al. (IST), “Onboarding your Replacement” by Smite & Moe (JSS), and “Modelling multi-criticality vehicular software” by Bucaioni et al. (SoSyM). Good luck to Scandariato at TUHH! (Removed)
  • September: Major revamp of the Swe-SE-SCI index. More knowledge mapping and less ranking by grouping scholars per SWEBOK area. Added new SSS scholar: Piotr Tomaszewski, RISE.
  • August: Added missing SSS scholar: Mira Kajko-Mattsson, KTH. One new “signature work”: When to update systematic literature reviews in software engineering. (J. Syst. Softw.) by Mendes et al.
Swe-SE-SCI affiliations and apparent research topics
Affiliation #SSS scholars #SCI publications Research topics
Blekinge Institute of Technology 21 110 Topic 1: development empirical industrial knowledge applications analysis start; Topic 2: model performance quality testing project literature management; Topic 3: web systematic agile models global test cost; Topic 4: requirements estimation product large framework design scale; Topic 5: effort process decision learning teaching time multiprocessor
Chalmers / Gothenburg University 18 60 Topic 1: design modeling industrial goal large supporting source; Topic 2: systems models data ecosystems open search automotive; Topic 3: product sustainability variability testing patterns business projects; Topic 4: agile analysis empirical support architecture techniques evolution; Topic 5: requirements model development test quality transformation measurement
RISE Research Institutes of Sweden 12 30 Topic 1: development model cyber source ecosystems making prediction; Topic 2: systems estimation architecture real literature automotive systematic; Topic 3: debt analysis enterprise data size requirements quality; Topic 4: time decision industrial networks insurance modified industry; Topic 5: open cost embedded technical models code architectural
Lund University 7 29 Topic 1: development attribute analysis scale distances context medical; Topic 2: testing systematic open management line grammars selection; Topic 3: product risk process language industrial industry processes; Topic 4: regression model effects academia support cases students; Topic 5: requirements test large practices data collaboration method
Mälardalen University 8 22 Topic 1: model embedded time vehicular mixed uml automotive; Topic 2: component safety models industrial messages complex code; Topic 3: systems end response process modelling area generation; Topic 4: analysis timing distributed test modeling network applications; Topic 5: development real systematic language core evolution framework
KTH Royal Institute of Technology 8 22 Topic 1: systems management process test modeling evaluating taxonomy; Topic 2: problem cm3 evolution critical maturity business automated; Topic 3: analysis framework probabilistic risk agile attacks models; Topic 4: architecture enterprise testing corrective security general change; Topic 5: model maintenance automatic checking theory vulnerability design
Linneaus University 6 14 Topic 1: systems management middleware specification logp time framework; Topic 2: design self qos architecture model assessment pervasive; Topic 3: adaptive analysis performance antipatterns applications aware critical; Topic 4: detection service quality soa automated work response; Topic 5: apis patterns control modeling linguistic assembly surveillance
Skövde University 6 11 Topic 1: systems development theory action structuration long knowledge; Topic 2: open source organisations swedish method sector analysis; Topic 3: projects implementation java perspective interoperability oss mutation; Topic 4: model challenges digital designing openness perceptions experience; Topic 5: standards experiences identifier government public lock practice
Malmö University 3 8 Topic 1: embedded ecosystem; Topic 2: data ecosystem
Linköping Univeristy 3 5 Topic 1: equation algorithmic systems 2010 program; Topic 2: openmodelica modeling dynamic development parallel; Topic 3: environment physical language object interprocedural; Topic 4: slicing modelica cyber simulation model; Topic 5: debugging incremental languages programs tools
Karlstad University 2 5 Topic 1: testing agile analysis variable; Topic 2: systematic automated particle swarm; Topic 3: interaction kanban model literature; Topic 4: development combinatorial projects descriptive
Örebro University 2 5 Topic 1: information requirements security user systems; Topic 2: analysis public inter organisational tool; Topic 3: method framework value compliance art; Topic 4: development configuration component practice statistical
Administrator 1 4 Topic 1: context impact critical game mapping; Topic 2: time change development digitalization sessions; Topic 3: analysis industrial systems lab search; Topic 4: safety tools retrieval enabling project; Topic 5: traceability information student reports testing
Stockholm University 1 1 Topic 1: modeling processes organizations preferences; Topic 2: requirements capability workflow capabilities; Topic 3: business service governance process
SWEBOK Knowledge Area – Software Requirements
Scholar Affiliation RE titles
Jan Bosch Chalmers / Gothenburg University 2016: Delivering Customer Value in the Age of Autonomous, Continuously Evolving Systems. (RE)
Tony Gorschek Blekinge Institute of Technology 2013: A little rebellion now and then is a good thing: Views on the requirements engineering conference. (RE) 2006: Requirements Abstraction Model. (Requir. Eng.)
Krzysztof Wnuk Blekinge Institute of Technology 2011: Scaling Up Requirements Engineering – Exploring the Challenges of Increasing Size and Complexity in Market-Driven Software Development. (REFSQ) 2010: Guiding Requirements Scoping Using ROI: Towards Agility, Openness and Waste Reduction. (RE) 2009: What Happened to Our Features? Visualization and Understanding of Scope Change Dynamics in a Large-Scale Industrial Setting. (RE) 2009: Architecting and Coordinating Thousands of Requirements – An Industrial Case Study. (REFSQ)
Björn Regnell Lund University 2016: What Is Essential? – A Pilot Survey on Views About the Requirements Metamodel of reqT.org. (REFSQ) 2013: reqT.org – Towards a Semi-Formal, Open and Scalable Requirements Modeling Tool. (REFSQ) 2011: Large-scale feature evolution: Problems and solutions from the mobile domain. (RE) 2008: Can We Beat the Complexity of Very Large-Scale Requirements Engineering?. (REFSQ) 2007: A Quality Performance Model for Cost-Benefit Analysis of Non-functional Requirements Applied to the Mobile Handset Domain. (REFSQ) 2003: An Analytical Model for Requirements Selection Quality Evaluation in Product Software Development. (RE) 2001: An Industrial Case Study on Distributed Prioritisation in Market-Driven Requirements Engineering for Packaged Software. (Requir. Eng.) 1998: A market-driven requirements engineering process: Results from an industrial process improvement programme. (Requir. Eng.) 1998: Combining Scenario-based Requirements with Static Verification and Dynamic Testing. (REFSQ) 1995: Improving the use case driven approach to requirements engineering. (RE)
Daniel Méndez Fernández Blekinge Institute of Technology 2015: Artefact-based requirements engineering: the AMDiRE approach. (Requir. Eng.)
Eric Knauss Chalmers / Gothenburg University 2018: Continuous clarification and emergent requirements flows in open-commercial software ecosystems. (Requir. Eng.) 2018: T-Reqs: Tool Support for Managing Requirements in Large-Scale Agile System Development. (RE) 2015: Patterns of continuous requirements clarification. (Requir. Eng.) 2015: Research Preview: Supporting Requirements Feedback Flows in Iterative System Development. (REFSQ) 2014: Openness and requirements: Opportunities and tradeoffs in software ecosystems. (RE) 2014: EAM: Ecosystemability assessment method. (RE) 2014: (Semi-) automatic Categorization of Natural Language Requirements. (REFSQ) 2012: Detecting and classifying patterns of requirements clarifications. (RE) 2012: Supporting Learning Organisations in Writing Better Requirements Documents Based on Heuristic Critiques. (REFSQ) 2011: Supporting Requirements Engineers in Recognising Security Issues. (REFSQ) 2009: Learning to Write Better Requirements through Heuristic Critiques. (RE) 2008: Assessing the Quality of Software Requirements Specifications. (RE)
Mikael Svahnberg Blekinge Institute of Technology 2015: Uni-REPM: a framework for requirements engineering process assessment. (Requir. Eng.) 2013: Uni-REPM: validated and improved. (Requir. Eng.)
Markus Borg Administrator 2017: Piggybacking on an Autonomous Hauler: Business Models Enabling a System-of-Systems Approach to Mapping an Underground Mine. (RE)
Richard Berntsson-Svensson Chalmers / Gothenburg University 2017: Is role playing in Requirements Engineering Education increasing learning outcome? (Requir. Eng.) 2015: Selecting creativity techniques for creative requirements: An evaluation of four techniques using creativity workshops. (RE) 2015: A Case Study Evaluation of the Guideline-Supported QUPER Model for Elicitation of Quality Requirements. (REFSQ) 2012: Setting quality targets for coming releases with QUPER: an industrial case study. (Requir. Eng.) 2011: Prioritization of quality requirements: State of practice in eleven companies. (RE) 2009: Quality Requirements in Practice: An Interview Study in Requirements Engineering for Embedded Systems. (REFSQ)
Michael Unterkalmsteiner Blekinge Institute of Technology 2020: Early Requirements Traceability with Domain-Specific Taxonomies – A Pilot Experiment. (RE) 2017: Requirements Quality Assurance in Industry: Why, What and How? (REFSQ)
Elizabeth Bjarnason Lund University 2017: The role of distances in requirements communication: a case study. (Requir. Eng.) 2013: Distances between Requirements Engineering and Later Software Development Activities: A Systematic Map. (REFSQ) 2011: Requirements are slipping through the gaps – A case study on causes & effects of communication gaps in large-scale software development. (RE)
Birgit Penzenstadler Chalmers / Gothenburg University 2013: The requirements engineering body of knowledge (REBoK). (RE) 2009: A Requirements Reference Model for Model-Based Requirements Engineering in the Automotive Domain. (REFSQ)
Lucas Gren Chalmers / Gothenburg University 2021: Is it possible to disregard obsolete requirements? a family of experiments in software effort estimation. (Requir. Eng.)
Jennifer Horkoff Chalmers / Gothenburg University 2019: Goal-oriented requirements engineering: an extended systematic mapping study. (Requir. Eng.) 2019: Non-Functional Requirements for Machine Learning: Challenges and New Directions. (RE) 2018: Efficiency and Effectiveness of Requirements Elicitation Techniques for Children. (RE) 2016: Interactive goal model analysis for early requirements engineering. (Requir. Eng.) 2016: Goal-Oriented Requirements Engineering: A Systematic Literature Map. (RE) 2014: Supporting early decision-making in the presence of uncertainty. (RE) 2013: Comparison and evaluation of goal-oriented satisfaction analysis techniques. (Requir. Eng.)
Barbara Gallina Mälardalen University 2007: A Template for Requirement Elicitation of Dependable Product Lines. (REFSQ)
Johan Linåker RISE Research Institutes of Sweden 2020: A method for analyzing stakeholders’ influence on an open source software ecosystem’s requirements engineering process. (Requir. Eng.) 2017: A Contribution Management Framework for Firms Engaged in Open Source Software Ecosystems – A Research Preview. (REFSQ) 2016: How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns. (REFSQ)
Thomas Olsson RISE Research Institutes of Sweden 2022: A systematic literature review of empirical research on quality requirements. (Requir. Eng.) 2018: QREME – Quality Requirements Management Model for Supporting Decision-Making. (REFSQ)
Jelena Zdravkovic Stockholm University 2015: Capturing consumer preferences as requirements for software product lines. (Requir. Eng.)
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 2020: Evaluating the Effects of Different Requirements Representations on Writing Test Cases. (REFSQ)
Hannes Holm KTH Royal Institute of Technology 2015: Requirements engineering: The quest for the dependent variable. (RE)
Rebekka Wohlrab Chalmers / Gothenburg University 2021: Defining Utility Functions for Multi-stakeholder Self-adaptive Systems. (REFSQ) 2020: Collaborative traceability management: a multiple case study from the perspectives of organization, process, and culture. (Requir. Eng.) 2018: The Problem of Consolidating RE Practices at Scale: An Ethnographic Study. (REFSQ) 2016: Collaborative Traceability Management: Challenges and Opportunities. (RE) 2014: Experience of pragmatically combining RE methods for performance requirements in industry. (RE)
Beatrice Alenljung Skövde University 2008: Portraying the practice of decision-making in requirements engineering: a case of large scale bespoke development. (Requir. Eng.) 2008: DESCRY: A Method for Evaluating Decision-Supporting Capabilities of Requirements Engineering Tools. (REFSQ)
SWEBOK Knowledge Area – Software Design
Scholar Affiliation Design titles
Jan Bosch Chalmers / Gothenburg University 2016: Tutorial Summary for Speed, Data and Ecosystems: The Future of Software Engineering. (WICSA) 2010: Architecture in the Age of Compositionality. (ECSA) 1999: Evolution and Composition of Reusable Assets in Product-Line Architectures: A Case Study. (WICSA)
Patrizio Pelliccione Chalmers / Gothenburg University 2017: Automotive Architecture Framework: The experience of Volvo Cars. (J. Syst. Archit.)
Jakob Axelsson RISE Research Institutes of Sweden 2011: On How to Deal with Uncertainty When Architecting Embedded Software and Systems. (ECSA) 1997: A portable model for predicting the size and execution time of programs. (J. Syst. Archit.) 1996: Hardware/software partitioning aiming at fulfilment of real-time constraints. (J. Syst. Archit.)
Mauro Caporuscio Linneaus University 2021: A Machine Learning Approach to Service Discovery for Microservice Architectures. (ECSA) 2020: Decentralized Architecture for Energy-Aware Service Assembly. (ECSA) 2020: Architectural Concerns for Digital Twin of the Organization. (ECSA)
Francis Palma Linneaus University 2014: Specification and Detection of SOA Antipatterns in Web Services. (ECSA)
Alessio Bucaioni Mälardalen University 2021: Aligning Architecture with Business Goals in the Automotive Domain. (ICSA) 2020: Technical Architectures for Automotive Systems. (ICSA)
Rebekka Wohlrab Chalmers / Gothenburg University 2019: Improving the Consistency and Usefulness of Architecture Descriptions: Guidelines for Architects. (ICSA) 2019: On Interfaces to Support Agile Architecting in Automotive: An Exploratory Case Study. (ICSA)
Saad Mubeen Mälardalen University 2016: On Timing Analysis of Component-Based Vehicular Distributed Embedded Systems at Various Abstraction Levels. (WICSA) 2014: Communications-oriented development of component-based vehicular distributed real-time embedded systems. (J. Syst. Archit.) 2014: MPS-CAN analyzer: Integrated implementation of response-time analyses for Controller Area Network. (J. Syst. Archit.)
Lars Pareto Chalmers / Gothenburg University 2011: Prioritizing Architectural Concerns. (WICSA)
SWEBOK Knowledge Area – Software Construction
Scholar Affiliation Construction titles
Martin Monperrus KTH Royal Institute of Technology 2017: Principles of Antifragile Software. (Programming) 2010: Detecting Missing Method Calls in Object-Oriented Software. (ECOOP)
Peter Fritzson Linköping Univeristy 1998: Modelica – A Unified Object-Oriented Language for System Modelling and Simulation. (ECOOP)
Jonas Lundberg Linneaus University 2008: Fast and Precise Points-to Analysis. (SCAM)
Simon Butler Skövde University 2011: Improving the Tokenisation of Identifier Names. (ECOOP)
Abu Naser Masud Mälardalen University 2019: Towards Constructing the SSA form using Reaching Definitions Over Dominance Frontiers. (SCAM)
Görel Hedin Lund University 1989: An Object-Oriented Notation for Attribute Grammars. (ECOOP) 1988: The Mjølner Environment: Direct Interaction with Abstractions. (ECOOP)
SWEBOK Knowledge Area – Software Testing
Scholar Affiliation Testing titles
Claes Wohlin Blekinge Institute of Technology 1995: An Experimental Evaluation of Capture-Recapture in Software Inspections. (Softw. Test. Verification Reliab.)
Per Runeson Lund University 2012: Software Product Line Testing – A 3D Regression Testing Problem. (ICST) 2012: It Takes Two to Tango – An Experience Report on Industry – Academia Collaboration. (ICST)
Benoit Baudry KTH Royal Institute of Technology 2014: Tailored source code transformations to synthesize computationally diverse program variants. (ISSTA) 2005: From genetic to bacteriological algorithms for mutation-based testing. (Softw. Test. Verification Reliab.)
Robert Feldt Chalmers / Gothenburg University 2016: Test Set Diameter: Quantifying the Diversity of Sets of Test Cases. (ICST) 2014: Do System Test Cases Grow Old? (ICST) 2010: Challenges with Software Verification and Validation Activities in the Space Industry. (ICST)
Markus Borg Administrator 2021: Digital Twins Are Not Monozygotic – Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators. (ICST)
Gregory Gay Chalmers / Gothenburg University 2017: The Fitness Function for the Job: Search-Based Generation of Test Suites That Detect Real Faults. (ICST)
Emil Alégroth Blekinge Institute of Technology 2021: A Failed attempt at creating Guidelines for Visual GUI Testing: An industrial case study. (ICST) 2018: Continuous Integration and Visual GUI Testing: Benefits and Drawbacks in Industrial Practice. (ICST) 2017: Overview of the ICST International Software Testing Contest. (ICST) 2015: On the Industrial Applicability of TextTest: An Empirical Case Study. (ICST) 2015: Conceptualization and Evaluation of Component-Based Testing Unified with Visual GUI Testing: An Empirical Study. (ICST) 2013: Transitioning Manual System Test Suites to Automated Testing: An Industrial Case Study. (ICST) 2013: JAutomate: A Tool for System- and Acceptance-test Automation. (ICST)
Emelie Engström Lund University 2014: Supporting Regression Test Scoping with Visual Analytics. (ICST) 2011: Improving Regression Testing Transparency and Efficiency with History-Based Prioritization – An Industrial Case Study. (ICST) 2010: An Empirical Evaluation of Regression Testing Based on Fix-Cache Recommendations. (ICST) 2010: Regression Test Selection and Product Line System Testing. (ICST)
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 2018: Improving continuous integration with similarity-based test case selection. (AST@ICSE)
Alessio Bucaioni Mälardalen University 2021: Model-based Automation of Test Script Generation Across Product Variants: a Railway Perspective. (AST@ICSE)
Cyrille Artho KTH Royal Institute of Technology 2020: Model-based testing of Apache ZooKeeper: Fundamental API usage and watchers. (Softw. Test. Verification Reliab.) 2017: Model-Based API Testing of Apache ZooKeeper. (ICST) 2003: High-level data races. (Softw. Test. Verification Reliab.)
Birgitta Lindström Skövde University 2019: On strong mutation and the theory of subsuming logic-based mutants. (Softw. Test. Verification Reliab.) 2008: Testability of Dynamic Real-Time Systems: An Empirical Study of Constrained Execution Environment Implications. (ICST)
Francesco Flammini Linneaus University 2009: Automatic instantiation of abstract tests on specific configurations for large critical control systems. (Softw. Test. Verification Reliab.)
Daniel Flemström Mälardalen University 2021: Industrial Scale Passive Testing with T-EARS. (ICST) 2017: SAGA Toolbox: Interactive Testing of Guarded Assertions. (ICST)
SWEBOK Knowledge Area – Software Maintenance
Scholar Affiliation Maintenance titles
Jan Bosch Chalmers / Gothenburg University 2001: Assessing Optimal Software Architecture Maintainability. (CSMR)
Per Runeson Lund University 2003: Test processes in software product evolution – a qualitative survey on the state of practice. (J. Softw. Maintenance Res. Pract.)
Benoit Baudry KTH Royal Institute of Technology 2014: DIVERSIFY: Ecology-inspired software evolution for diversity emergence. (CSMR-WCRE)
Tony Gorschek Blekinge Institute of Technology 2012: Introduction of a process maturity model for market-driven product management and requirements engineering. (J. Softw. Maintenance Res. Pract.)
Miroslaw Staron Chalmers / Gothenburg University 2011: Developing measurement systems: an industrial case study. (J. Softw. Maintenance Res. Pract.)
Martin Höst Lund University 2005: Performance Prediction Based on Knowledge of Prior Product Versions. (CSMR)
Mikael Svahnberg Blekinge Institute of Technology 1999: Evolution in software product lines: two cases. (J. Softw. Maintenance Res. Pract.)
Markus Borg Administrator 2013: Analyzing Networks of Issue Reports. (CSMR) 2012: Industrial Comparability of Student Artifacts in Traceability Recovery Research – An Exploratory Survey. (CSMR) 2011: In Vivo Evaluation of Large-Scale IR-Based Traceability Recovery. (CSMR)
Gregory Gay Chalmers / Gothenburg University 2009: On the use of relevance feedback in IR-based concept location. (ICSM)
Mira Kajko-Mattsson KTH Royal Institute of Technology 2010: International Workshop on Processes for Software Evolution and Maintenance (WoSEMP 2010). (WCRE) 2008: Outline of an SLA Management Model. (CSMR) 2006: Evaluation of CM (CSMR) 2006: Long-term Life Cycle Impact of Agile Methodologies. (ICSM) 2005: A Framework for the Evolution and Maintenance of Web Services. (ICSM) 2004: Problems within front-end support. (J. Softw. Maintenance Res. Pract.) 2004: Lesson Learned from Attempts to Implement Daily Build. (CSMR) 2004: CM (ICSM) 2004: Evolution and Maintenance of Web Service Applications. (ICSM) 2003: Problems within Support (Upfront Maintenance). (CSMR) 2003: Infrastructures of Virtual IT Enterprises. (ICSM) 2002: Problem management maturity within corrective maintenance. (J. Softw. Maintenance Res. Pract.) 2002: Corrective Maintenance Maturity Model: Problem Management. (ICSM) 2001: Taxonomy of Problem Management Activities. (CSMR) 2001: The State of Documentation Practice within Corrective Maintenance. (ICSM) 2001: Evaluating the Predelivery Phase of ISO/IEC FDIS 14764 in the Swedish Context. (ICSM) 2001: Towards a Business Maintenance Model. (ICSM) 2000: Software problem reporting and resolution process at ABB Robotics AB: state of practice. (J. Softw. Maintenance Res. Pract.) 2000: Preventive Maintenance! Do We Know What It Is? (ICSM) 2000: Prevention Is Better Than Cure. (ICSM) 1999: Experience Paper: Maintenance at ABB (I): Software Problem Administration Processes. (ICSM) 1999: Common Concept Apparatus Within Corrective Software Maintenance. (ICSM) 1999: Experience Paper: Maintenance at ABB (II): Change Execution Processes. (ICSM)
Robert Lagerström KTH Royal Institute of Technology 2008: Using Architectural Models to Predict the Maintainability of Enterprise Systems. (CSMR)
Francis Palma Linneaus University 2014: Specification and Detection of SOA Antipatterns. (ICSME)
Terese Besker RISE Research Institutes of Sweden 2018: Embracing Technical Debt, from a Startup Company Perspective. (ICSME) 2017: The Pricey Bill of Technical Debt: When and by Whom will it be Paid? (ICSME)
Ulrik Franke RISE Research Institutes of Sweden 2009: A Method for Choosing Software Assessment Measures Using Bayesian Networks and Diagnosis. (CSMR)
Piotr Tomaszewski RISE Research Institutes of Sweden 2006: A Method for an Accurate Early Prediction of Faults in Modified Classes. (ICSM)
Simon Butler Skövde University 2015: Investigating naming convention adherence in Java references. (ICSME) 2011: Mining java class naming conventions. (ICSM) 2010: Exploring the Influence of Identifier Names on Code Quality: An Empirical Study. (CSMR) 2009: Relating Identifier Naming Flaws and Code Quality: An Empirical Study. (WCRE)
Imed Hammouda Chalmers / Gothenburg University 2004: Documenting Maintenance Tasks Using Maintenance Patterns. (CSMR)
Mariam Kamkar Linköping Univeristy 1995: Dynamic slicing of distributed programs. (ICSM) 1993: Interprocedural Dynamic Slicing Applied to Interprocedural Data How Testing. (ICSM)
Michael Mattsson Blekinge Institute of Technology 2000: Stability assessment of evolving industrial object-oriented frameworks. (J. Softw. Maintenance Res. Pract.) 1999: Experience Paper: Observations on the Evolution of an Industrial OO Framework. (ICSM) 1999: Experience Paper: Effort Distribution in a Six-Year Industrial Application Framework Project. (ICSM)
SWEBOK Knowledge Area – Software Configuration Management
Scholar Affiliation CM titles
Jan Bosch Chalmers / Gothenburg University 2014: ESAO: towards data- and ecosystem-driven R&D. (SPLC) 2011: Software Ecosystems – Implications for Strategy, Business Model and Architecture. (SPLC) 2011: Achieving Speed in Legacy Systems. (SPLC) 2009: From software product lines to software ecosystems. (SPLC) 2005: Software Product Families in Nokia. (SPLC) 2004: On the Development of Software Product-Family Components. (SPLC) 2004: Architecture-Centric Software Engineering. (SPLC) 2004: Software Variability Management. (SPLC) 2002: Maturity and Evolution in Software Product Lines: Approaches, Artefacts and Organization. (SPLC)
Görel Hedin Lund University 1998: Product Configuration Using Object Oriented Grammars. (SCM)
SWEBOK Knowledge Area – Software Engineering Management
Scholar Affiliation Management titles
Miroslaw Staron Chalmers / Gothenburg University 2019: Information Needs for SAFe Teams and Release Train Management: A Design Science Research Study. (IWSM-Mensura) 2016: A Key Performance Indicator Quality Model and Its Industrial Evaluation. (IWSM-Mensura) 2015: Selecting the Right Visualization of Indicators and Measures – Dashboard Selection Model. (IWSM/Mensura) 2015: Measurement-as-a-Service – A New Way of Organizing Measurement Programs in Large Software Development Companies. (IWSM/Mensura) 2014: Consequences of Mispredictions of Software Reliability: A Model and its Industrial Evaluation. (IWSM/Mensura) 2013: Measuring and Visualizing Code Stability – A Case Study at Three Companies. (IWSM/Mensura) 2009: Ensuring Reliability of Information Provided by Measurement Systems. (IWSM/Mensura) 2009: Using Models to Develop Measurement Systems: A Method and Its Industrial Use. (IWSM/Mensura)
Krzysztof Wnuk Blekinge Institute of Technology 2017: Agile and lean metrics associated with requirements engineering. (IWSM-Mensura)
Kenneth Lind RISE Research Institutes of Sweden 2011: CompSize: Automated Size Estimation of Embedded Software Components. (IWSM/Mensura)
Niklas Mellegård RISE Research Institutes of Sweden 2017: Using weekly open defect reports as an indicator for software process efficiency: theoretical framework and a longitudinal automotive industrial case study. (IWSM-Mensura)
SWEBOK Knowledge Area – Software Engineering Process
Scholar Affiliation Process titles
Claes Wohlin Blekinge Institute of Technology 2021: Towards evidence-based decision-making for identification and usage of assets in composite software: A research roadmap. (J. Softw. Evol. Process.) 2005: Evaluation of Three Methods to Predict Project Success: A Case Study. (PROFES)
Jan Bosch Chalmers / Gothenburg University 2021: Digital for real: A multicase study on the digital transformation of companies in the embedded systems domain. (J. Softw. Evol. Process.) 2018: Ecosystem traps and where to find them. (J. Softw. Evol. Process.) 2006: Expanding the Scope of Software Product Families: Problems and Alternative Approaches. (PROFES) 2005: Software variability: process and management. (Softw. Process. Improv. Pract.) 2005: Staged adoption of software product families. (Softw. Process. Improv. Pract.)
Per Runeson Lund University 2011: A Factorial Experimental Evaluation of Automated Test Input Generation – – Java Platform Testing in Embedded Devices. (PROFES) 2009: Tutorial: Case Studies in Software Engineering. (PROFES) 2001: A Classification Scheme for Studies on Fault-Prone Components. (PROFES) 2000: An Evaluation of Functional Size Methods and a Bespoke Estimation Method for Real-Time Systems. (PROFES)
Miroslaw Staron Chalmers / Gothenburg University 2012: Release Readiness Indicator for Mature Agile and Lean Software Development Projects. (XP) 2011: Monitoring Bottlenecks in Agile and Lean Software Development Projects – A Method and Its Industrial Use. (PROFES) 2006: An Industrial Case Study on the Choice Between Language Customization Mechanisms. (PROFES)
Krzysztof Wnuk Blekinge Institute of Technology 2016: An Industrial Case Study on Measuring the Quality of the Requirements Scoping Process. (PROFES) 2015: Exploring factors affecting decision outcome and lead time in large-scale requirements engineering. (J. Softw. Evol. Process.)
Björn Regnell Lund University 2009: A Measurement Framework for Team Level Assessment of Innovation Capability in Early Requirements Engineering. (PROFES) 2006: Assessing Requirements Compliance Scenarios in System Platform Subcontracting. (PROFES)
Darja Smite Blekinge Institute of Technology 2022: Half-Empty Offices in Flexible Work Arrangements: Why Are Employees Not Returning? (PROFES) 2021: From Collaboration to Solitude and Back: Remote Pair Programming During COVID-19. (XP) 2020: “When in Rome, Do as the Romans Do”: Cultural Barriers to Being Agile in Distributed Teams. (XP) 2019: Corporate-Level Communities at Ericsson: Parallel Organizational Structure for Fostering Alignment for Autonomy. (XP) 2012: Lessons learned from transferring software products to India. (J. Softw. Evol. Process.) 2012: Socio-technical Congruence Sabotaged by a Hidden Onshore Outsourcing Relationship: Lessons Learned from an Empirical Study. (PROFES) 2009: Why a CMMI Level 5 Company Fails to Meet the Deadlines?. (PROFES) 2008: Pitfalls in Remote Team Coordination: Lessons Learned from a Case Study. (PROFES) 2006: Global software development projects in one of the biggest companies in Latvia: is geographical distribution a problem? (Softw. Process. Improv. Pract.) 2006: An ISO 9001: 2000 Certificate and Quality Awards from Outside – What’s Inside? – A Case Study. (PROFES) 2005: A Case Study: Coordination Practices in Global Software Development. (PROFES)
Daniel Méndez Fernández Blekinge Institute of Technology 2015: A Case Study on Artefact-Based RE Improvement in Practice. (PROFES) 2014: Artefact-Based Requirements Engineering Improvement: Learning to Walk in Practice. (PROFES) 2013: Improving Requirements Engineering by Artefact Orientation. (PROFES)
Martin Höst Lund University 2012: Modeling the Effects of Project Management Strategies on Long-Term Product Knowledge. (PROFES) 2011: Usage of Open Source in Commercial Software Product Development – Findings from a Focus Group Meeting. (PROFES)
Eric Knauss Chalmers / Gothenburg University 2009: Investigating the Impact of Software Requirements Specification Quality on Project Success. (PROFES)
Mikael Svahnberg Blekinge Institute of Technology 2017: A model for assessing and re-assessing the value of software reuse. (J. Softw. Evol. Process.) 2002: Consensus Building when Comparing Software Architectures. (PROFES)
Markus Borg Administrator 2016: TuneR: a framework for tuning software engineering tools with hands-on instructions in R. (J. Softw. Evol. Process.)
Efi Papatheocharous RISE Research Institutes of Sweden 2017: An investigation of effort distribution among development phases: A four-stage progressive software cost estimation model. (J. Softw. Evol. Process.) 2014: Empirical evidence and state of practice of software agile teams. (J. Softw. Evol. Process.)
Helena Holmström Olsson Malmö University 2020: Going digital: Disruption and transformation in software-intensive embedded systems ecosystems. (J. Softw. Evol. Process.) 2019: Data Driven Development: Challenges in Online, Embedded and On-Premise Software. (PROFES) 2017: From ad hoc to strategic ecosystem management: the “Three-Layer Ecosystem Strategy Model” (TeLESM). (J. Softw. Evol. Process.) 2016: No More Bosses? – A Multi-case Study on the Emerging Use of Non-hierarchical Principles in Large-Scale Software Development. (PROFES) 2016: Exploring IoT User Dimensions – A Multi-case Study on User Interactions in ‘Internet of Things’ Systems. (PROFES) 2015: Strategic Ecosystem Management: A Multi-case Study in the B2B Domain. (PROFES) 2014: Towards Agile and Beyond: An Empirical Account on the Challenges Involved When Advancing Software Development Practices. (XP)
Richard Berntsson-Svensson Chalmers / Gothenburg University 2019: BAM – Backlog Assessment Method. (XP) 2019: The Unfulfilled Potential of Data-Driven Decision Making in Agile Software Development. (XP) 2017: Measuring Team Innovativeness: A Multiple Case Study of Agile and Lean Software Developing Companies. (PROFES) 2012: Software Architecture as a Means of Communication in a Globally Distributed Software Development Context. (PROFES)
Regina Hebig Chalmers / Gothenburg University 2017: The changing balance of technology and process: A case study on a combined setting of model-driven development and classical C coding. (J. Softw. Evol. Process.) 2016: How do process and team interaction depend on development technologies?: a case study on a combined setting of model-driven development and classical C coding. (ICSSP) 2014: On the need to study the impact of model driven engineering on software processes. (ICSSP) 2012: Towards patterns for MDE-related processes to detect and handle changeability risks. (ICSSP) 2011: Toward a comparable characterization for software development activities in context of MDE. (ICSSP)
Emelie Engström Lund University 2010: A Qualitative Survey of Regression Testing Practices. (PROFES)
Michael Unterkalmsteiner Blekinge Institute of Technology 2014: A conceptual framework for SPI evaluation. (J. Softw. Evol. Process.)
Elizabeth Bjarnason Lund University 2015: An Industrial Case Study on Test Cases as Requirements. (XP) 2012: Evidence-Based Timelines for Agile Project Retrospectives – A Method Proposal. (XP)
Lucas Gren Chalmers / Gothenburg University 2020: Agile ways of working: A team maturity perspective. (J. Softw. Evol. Process.) 2020: What an Agile Leader Does: The Group Dynamics Perspective. (XP)
Barbara Gallina Mälardalen University 2020: Quantitative evaluation of tailoring within SPICE-compliant security-informed safety-oriented process lines. (J. Softw. Evol. Process.) 2016: Deriving Safety Case Fragments for Assessing MBASafe’s Compliance with EN 50128. (SPICE) 2015: Ontology-Based Identification of Commonalities and Variabilities Among Safety Processes. (PROFES)
Fabian Fagerholm Blekinge Institute of Technology 2014: Examining the Structure of Lean and Agile Values among Software Developers. (XP) 2012: Developer experience: Concept and definition. (ICSSP)
Johan Linåker RISE Research Institutes of Sweden 2015: Requirements engineering in open innovation: a research agenda. (ICSSP) 2014: On Infrastructure for Facilitation of Inner Source in Small Development Teams. (PROFES)
Mira Kajko-Mattsson KTH Royal Institute of Technology 2015: Tackling the incompleteness of software engineering education with the ESSENCE kernel. (ICSSP)
Robert Lagerström KTH Royal Institute of Technology 2013: Increasing software development efficiency and maintainability for complex industrial systems – A case study. (J. Softw. Evol. Process.)
Hussan Munir Malmö University 2015: Software testing in open innovation: an exploratory case study of the acceptance test harness for jenkins. (ICSSP)
Alessio Bucaioni Mälardalen University 2022: Model-based generation of test scripts across product variants: An experience report from the railway industry. (J. Softw. Evol. Process.)
Piotr Tomaszewski RISE Research Institutes of Sweden 2008: From Traditional to Streamline Development – opportunities and challenges. (Softw. Process. Improv. Pract.)
Deepika Badampudi Blekinge Institute of Technology 2013: Perspectives on Productivity and Delays in Large-Scale Agile Projects. (XP)
Ludwik Kuzniarz Blekinge Institute of Technology 2002: Extracting Initial UML Domain Models from Daml+OIL Encoded Ontologies. (PROFES)
Rebekka Wohlrab Chalmers / Gothenburg University 2019: Boundary objects and their use in agile systems engineering. (J. Softw. Evol. Process.) 2018: Boundary objects in Agile practices: continuous management of systems engineering artifacts in the automotive domain. (ICSSP)
Binish Tanveer Blekinge Institute of Technology 2019: An evaluation of effort estimation supported by change impact analysis in agile software development. (J. Softw. Evol. Process.) 2018: A hybrid methodology for effort estimation in Agile development: an industrial evaluation. (ICSSP) 2017: Effort estimation in agile software development: Case study and improvement framework. (J. Softw. Evol. Process.) 2016: Understanding and improving effort estimation in Agile software development: an industrial case study. (ICSSP) 2016: Hybrid Effort Estimation of Changes in Agile Software Development. (XP)
Fredrik Karlsson Örebro University 2008: Method Configuration: The eXtreme Programming Case. (XP)
Muhammad Ovais Ahmad Karlstad University 2017: An empirical study of portfolio management and Kanban in agile and lean software companies. (J. Softw. Evol. Process.) 2016: Insights into the Perceived Benefits of Kanban in Software Companies: Practitioners’ Views. (XP) 2016: Pitfalls of Kanban in Brownfield and Greenfield Software Development Projects. (XP)
Christin Lindholm Lund University 2015: Involving user perspective in a software risk management process. (J. Softw. Evol. Process.)
Görel Hedin Lund University 2003: Coaching Coaches. (XP)
Niklas Mellegård RISE Research Institutes of Sweden 2010: Improving Efficiency of Change Impact Assessment Using Graphical Requirement Specifications: An Experiment. (PROFES)
SWEBOK Knowledge Area – Software Engineering Models and Methods
Scholar Affiliation Models and Methods titles
Miroslaw Staron Chalmers / Gothenburg University 2006: Adopting Model Driven Software Development in Industry – A Case Study at Two Companies. (MoDELS) 2005: Properties of Stereotypes from the Perspective of Their Role in Designs. (MoDELS)
Martin Monperrus KTH Royal Institute of Technology 2011: Model-driven generative development of measurement software. (Softw. Syst. Model.) 2008: A Model-Driven Measurement Approach. (MoDELS)
Daniel Méndez Fernández Blekinge Institute of Technology 2019: Artefacts in software engineering: a fundamental positioning. (Softw. Syst. Model.)
Federico Ciccozzi Mälardalen University 2019: Execution of UML models: a systematic review of research and practice. (Softw. Syst. Model.) 2018: On the automated translational execution of the action language for foundational UML. (Softw. Syst. Model.)
Antonio Cicchetti Mälardalen University 2019: Multi-view approaches for software and system modelling: a systematic literature review. (Softw. Syst. Model.) 2013: Managing the evolution of data-intensive Web applications by model-driven techniques. (Softw. Syst. Model.) 2008: Managing Model Conflicts in Distributed Development. (MoDELS)
Björn Lundell Skövde University 2006: UML Model Interchange in Heterogeneous Tool Environments: An Analysis of Adoptions of XMI 2. (MoDELS)
Regina Hebig Chalmers / Gothenburg University 2017: On the complex nature of MDE evolution and its impact on changeability. (Softw. Syst. Model.) 2016: The quest for open source projects that use UML: mining GitHub. (MoDELS) 2013: On the Complex Nature of MDE Evolution. (MoDELS)
Jennifer Horkoff Chalmers / Gothenburg University 2018: Experiences Applying \hbox e^3 Value Modeling in a Cross-Company Study. (ER) 2014: Strategic business modeling: representation and reasoning. (Softw. Syst. Model.) 2014: Evaluating Modeling Languages: An Example from the Requirements Domain. (ER) 2010: Finding Solutions in Goal Models: An Interactive Backward Reasoning Approach. (ER)
Daniel Strüber Chalmers / Gothenburg University 2020: Variability representations in class models: an empirical assessment. (MoDELS) 2019: Model clone detection for rule-based model transformation languages. (Softw. Syst. Model.)
Diego Perez-Palacin Linneaus University 2019: A UML Profile for the Design, Quality Assessment and Deployment of Data-intensive Applications. (Softw. Syst. Model.)
Javier Gonzalez-Huerta Blekinge Institute of Technology 2013: Defining and Validating a Multimodel Approach for Product Architecture Derivation and Improvement. (MoDELS)
Ulrik Franke RISE Research Institutes of Sweden 2018: What can we learn from enterprise architecture models? An experiment comparing models and documents for capability development. (Softw. Syst. Model.) 2014: An architecture framework for enterprise IT service availability analysis. (Softw. Syst. Model.)
Alessio Bucaioni Mälardalen University 2022: Modelling in low-code development: a multi-vocal systematic review. (Softw. Syst. Model.) 2020: Modelling multi-criticality vehicular software systems: evolution of an industrial component model. (Softw. Syst. Model.)
Hannes Holm KTH Royal Institute of Technology 2014: Automatic data collection for enterprise architecture models. (Softw. Syst. Model.)
Rebekka Wohlrab Chalmers / Gothenburg University 2020: Modeling and Analysis of Boundary Objects and Methodological Islands in Large-Scale Systems Development. (ER)
Saad Mubeen Mälardalen University 2019: Supporting timing analysis of vehicular embedded systems through the refinement of timing constraints. (Softw. Syst. Model.)
Lars Pareto Chalmers / Gothenburg University 2012: Concern coverage in base station development: an empirical investigation. (Softw. Syst. Model.) 2009: Concern Visibility in Base Station Development – An Empirical Investigation. (MoDELS) 2008: Ontology Guided Evolution of Complex Embedded Systems Projects in the Direction of MDA. (MoDELS)
Kenneth Lind RISE Research Institutes of Sweden 2011: A Model-Based and Automated Approach to Size Estimation of Embedded Software Components. (MoDELS)
SWEBOK Knowledge Area – Software Quality
Scholar Affiliation Quality titles
Claes Wohlin Blekinge Institute of Technology 2001: Assessing Project Success Using Subjective Evaluation Factors. (Softw. Qual. J.) 1998: Understanding software defect detection in the Personal Software Process. (ISSRE) 1995: Soft factors and their impact on time to market. (Softw. Qual. J.) 1993: Engineering reliable software. (ISSRE) 1992: A method proposal for early software reliability estimation. (ISSRE)
Emilia Mendes Blekinge Institute of Technology 2018: Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework. (Softw. Qual. J.)
Per Runeson Lund University 2004: Are Found Defects an Indicator of Software Correctness? An Investigation in a Controlled Case Study. (ISSRE) 2003: Detection or Isolation of Defects? An Experimental Comparison of Unit Testing and Code Inspection. (ISSRE) 1998: Derivation of an integrated operational profile and use case model. (ISSRE)
Benoit Baudry KTH Royal Institute of Technology 2002: Genes and Bacteria for Automatic Test Cases Optimization in the .NET Environment. (ISSRE) 2001: Towards a ‘Safe’ Use of Design Patterns to Improve OO Software Testability. (ISSRE) 2000: Building Trust into OO Components Using a Genetic Analogy. (ISSRE)
Robert Feldt Chalmers / Gothenburg University 2013: Finding test data with specific properties via metaheuristic search. (ISSRE)
Martin Monperrus KTH Royal Institute of Technology 2013: Automated measurement of models of requirements. (Softw. Qual. J.)
Jürgen Börstler Blekinge Institute of Technology 2016: Beauty and the Beast: on the readability of object-oriented example programs. (Softw. Qual. J.)
Federico Ciccozzi Mälardalen University 2018: Architecture optimization: speed or accuracy? both! (Softw. Qual. J.)
Richard Torkar Chalmers / Gothenburg University 2003: An Exploratory Study of Component Reliability Using Unit Testing. (ISSRE)
Emil Alégroth Blekinge Institute of Technology 2020: Characteristics that affect preference of decision models for asset selection: an industrial questionnaire survey. (Softw. Qual. J.)
Emelie Engström Lund University 2017: SERP-test: a taxonomy for supporting industry-academia communication. (Softw. Qual. J.)
Philipp Leitner Chalmers / Gothenburg University 2017: An Exploratory Study of the State of Practice of Performance Testing in Java-Based Open Source Projects. (ICPE)
Wasif Afzal Mälardalen University 2014: Prediction of faults-slip-through in large software projects: an empirical evaluation. (Softw. Qual. J.)
Panagiota Chatzipetrou Örebro University 2020: Component attributes and their importance in decisions and component selection. (Softw. Qual. J.) 2015: An experience-based framework for evaluating alignment of software quality goals. (Softw. Qual. J.)
Barbara Gallina Mälardalen University 2007: Coordinated Atomic Actions for Dependable Distributed Systems: the Current State in Concepts, Semantics and Verification Means. (ISSRE)
Diego Perez-Palacin Linneaus University 2021: WOSP-C 2021: Workshop on Challenges in Performance Methods for Software Development. (ICPE) 2014: Uncertainties in the modeling of self-adaptive systems: a taxonomy and an example of availability evaluation. (ICPE) 2012: Analysis of bursty workload-aware self-adaptive systems. (ICPE) 2011: Performance sensitive self-adaptive service-oriented software using hidden markov models. (ICPE)
Robert Lagerström KTH Royal Institute of Technology 2012: Identifying factors affecting software development cost and productivity. (Softw. Qual. J.) 2010: Architecture analysis of enterprise systems modifiability: a metamodel for software change cost estimation. (Softw. Qual. J.)
Pontus Johnson KTH Royal Institute of Technology 2018: A Meta Language for Threat Modeling and Attack Simulations. (ARES) 2016: pwnPr3d: An Attack-Graph-Driven Probabilistic Threat-Modeling Approach. (ARES)
Ulrik Franke RISE Research Institutes of Sweden 2014: The Distribution of Time to Recovery of Enterprise IT Services. (IEEE Trans. Reliab.) 2012: Availability of enterprise IT systems: an expert-based Bayesian framework. (Softw. Qual. J.)
Cyrille Artho KTH Royal Institute of Technology 2021: Test Benchmarks: Which One Now and in Future? (QRS)
Birgitta Lindström Skövde University 2007: Generating Trace-Sets for Model-based Testing. (ISSRE)
Fredrik Asplund KTH Royal Institute of Technology 2015: The Need for a Confidence View of CPS Support Environments (Fast Abstract). (HASE) 2012: Qualifying Software Tools, a Systems Approach. (SAFECOMP)
Christin Lindholm Lund University 2014: A case study on software risk analysis and planning in medical device development. (Softw. Qual. J.)
Maria Ulan RISE Research Institutes of Sweden 2021: Copula-based software metrics aggregation. (Softw. Qual. J.)
Francesco Flammini Linneaus University 2014: A Petri Net Pattern-Oriented Approach for the Design of Physical Protection Systems. (SAFECOMP) 2011: Augmenting Surveillance System Capabilities by Exploiting Event Correlation and Distributed Attack Detection. (ARES) 2005: Using Repairable Fault Trees for the Evaluation of Design Choices for Critical Repairable Systems. (HASE)
Daniel Flemström Mälardalen University 2018: Similarity-based prioritization of test case automation. (Softw. Qual. J.) 2018: From Natural Language Requirements to Passive Test Cases Using Guarded Assertions. (QRS)
Niklas Mellegård RISE Research Institutes of Sweden 2012: A Light-Weight Defect Classification Scheme for Embedded Automotive Software and Its Initial Evaluation. (ISSRE)
SWEBOK Knowledge Area – Software Engineering Professional Practice
Scholar Affiliation Professional Practice titles
Claes Wohlin Blekinge Institute of Technology 2012: The Success Factors Powering Industry-Academia Collaboration. (IEEE Softw.)
Jan Bosch Chalmers / Gothenburg University 2022: AI Engineering: Realizing the Potential of AI. (IEEE Softw.) 2017: Toward Evidence-Based Organizations: Lessons from Embedded Systems, Online Games, and the Internet of Things. (IEEE Softw.) 2016: Speed, Data, and Ecosystems: The Future of Software Engineering. (IEEE Softw.) 2015: Trends in Systems and Software Variability. (IEEE Softw.) 2011: Introducing agile customer-centered development in a legacy software product line. (Softw. Pract. Exp.) 2010: Toward Compositional Software Product Lines. (IEEE Softw.)
Per Runeson Lund University 2006: What do we know about defect detection methods? [software testing]. (IEEE Softw.) 2006: A Survey of Unit Testing Practices. (IEEE Softw.)
Benoit Baudry KTH Royal Institute of Technology 2021: A Software-Repair Robot Based on Continual Learning. (IEEE Softw.) 2005: Automatic Test Case Optimization: A Bacteriologic Algorithm. (IEEE Softw.)
Tony Gorschek Blekinge Institute of Technology 2010: A Lightweight Innovation Process for Software-Intensive Product Development. (IEEE Softw.) 2006: A Model for Technology Transfer in Practice. (IEEE Softw.) 2004: Packaging software process improvement issues: a method and a case study. (Softw. Pract. Exp.)
Miroslaw Staron Chalmers / Gothenburg University 2018: Industrial experiences from evolving measurement systems into self-healing systems for improved availability. (Softw. Pract. Exp.)
Björn Regnell Lund University 2008: Supporting Roadmapping of Quality Requirements. (IEEE Softw.)
Darja Smite Blekinge Institute of Technology 2020: The Offshoring Elephant in the Room: Turnover. (IEEE Softw.) 2019: Spotify Guilds: How to Succeed With Knowledge Sharing in Large-Scale Agile Organizations. (IEEE Softw.) 2016: What’s the True Hourly Cost of Offshoring? (IEEE Softw.) 2015: Cost Savings in Global Software Engineering: Where’s the Evidence? (IEEE Softw.) 2014: Virtual Teams [Guest editors’ introduction]. (IEEE Softw.) 2011: A Whisper of Evidence in Global Software Engineering. (IEEE Softw.) 2011: Strategies Facilitating Software Product Transfers. (IEEE Softw.)
Jürgen Börstler Blekinge Institute of Technology 2002: Teaching the PSP: Challenges and Lessons Learned. (IEEE Softw.)
Daniel Méndez Fernández Blekinge Institute of Technology 2018: Supporting Requirements-Engineering Research That Industry Needs: The NaPiRE Initiative. (IEEE Softw.) 2015: Naming the Pain in Requirements Engineering: Comparing Practices in Brazil and Germany. (IEEE Softw.)
Lars Lundberg Blekinge Institute of Technology 1989: A Parallel Ada System on an Experimental Multiprocessor. (Softw. Pract. Exp.)
Federico Ciccozzi Mälardalen University 2017: Model-Driven Engineering for Mission-Critical IoT Systems. (IEEE Softw.)
Eric Knauss Chalmers / Gothenburg University 2019: The Missing Requirements Perspective in Large-Scale Agile System Development. (IEEE Softw.)
Mikael Svahnberg Blekinge Institute of Technology 2005: A taxonomy of variability realization techniques. (Softw. Pract. Exp.)
Markus Borg Administrator 2018: Digitalization of swedish government agencies: a perspective through the lens of a software development census. (ICSE-SEIS)
Helena Holmström Olsson Malmö University 2014: Scale and Responsiveness in Large-Scale Software Development. (IEEE Softw.)
Emil Alégroth Blekinge Institute of Technology 2017: Replicating Rare Software Failures with Exploratory Visual GUI Testing. (IEEE Softw.)
Björn Lundell Skövde University 2022: Effective Strategies for Using Open Source Software and Open Standards in Organizational Contexts: Experiences From the Primary and Secondary Software Sectors. (IEEE Softw.)
Michael Unterkalmsteiner Blekinge Institute of Technology 2018: Process Improvement Archaeology: What Led Us Here, and What’s Next? (IEEE Softw.)
Elizabeth Bjarnason Lund University 2017: Aligning Requirements and Testing: Working Together toward the Same Goal. (IEEE Softw.) 2014: Reflecting on Evidence-Based Timelines. (IEEE Softw.)
Birgit Penzenstadler Chalmers / Gothenburg University 2022: Software Design Trends Supporting Multiconcern Assurance. (IEEE Softw.) 2022: Bots in Software Engineering. (IEEE Softw.) 2020: When Does Design Help Thinking, and When Does Design Thinking Help? (IEEE Softw.) 2018: Software Engineering for Sustainability: Find the Leverage Points! (IEEE Softw.) 2015: Sustainability and Requirements: A Manifesto. (IEEE Softw.) 2014: Safety, Security, Now Sustainability: The Nonfunctional Requirement for the 21st Century. (IEEE Softw.)
Lucas Gren Chalmers / Gothenburg University 2020: Group-Development Psychology Training: The Perceived Effects on Agile Software-Development Teams. (IEEE Softw.)
Barbara Gallina Mälardalen University 2022: Multiconcern, Dependability-Centered Assurance Via a Qualitative and Quantitative Coanalysis. (IEEE Softw.)
Fabian Fagerholm Blekinge Institute of Technology 2014: Onboarding in Open Source Projects. (IEEE Softw.)
Johan Linåker RISE Research Institutes of Sweden 2022: Collaborative Aspects of Open Data in Software Engineering. (IEEE Softw.)
Mauro Caporuscio Linneaus University 2017: Building design-time and run-time knowledge for QoS-based component assembly. (Softw. Pract. Exp.)
Pontus Johnson KTH Royal Institute of Technology 2012: Where’s the Theory for Software Engineering? (IEEE Softw.)
Peter Fritzson Linköping Univeristy 1995: High-level Mathematical Modeling And Programming. (IEEE Softw.)
Eriks Klotins Blekinge Institute of Technology 2019: Software Engineering Antipatterns in Start-Ups. (IEEE Softw.) 2018: Software-Intensive Product Engineering in Start-Ups: A Taxonomy. (IEEE Softw.)
Imed Hammouda Chalmers / Gothenburg University 2009: Design profiles: toward unified tool support for design patterns and UML profiles. (Softw. Pract. Exp.)
Rebekka Wohlrab Chalmers / Gothenburg University 2021: Why and How Your Traceability Should Evolve: Insights From an Automotive Supplier. (IEEE Softw.)
Görel Hedin Lund University 2011: Extending Languages by Leveraging Compilers: From Modelica to Optimica. (IEEE Softw.)
Niklas Mellegård RISE Research Institutes of Sweden 2020: Contrasting Big Bang With Continuous Integration Through Defect Reports. (IEEE Softw.)
SWEBOK Knowledge Area – Software Engineering Economics
Scholar Affiliation Economics titles
Claes Wohlin Blekinge Institute of Technology 2016: Supporting Strategic Decision-Making for Selection of Software Assets. (ICSOB)
Jan Bosch Chalmers / Gothenburg University 2019: From Efficiency to Effectiveness: Delivering Business Value Through Software. (ICSOB) 2014: ESAO: A Holistic Ecosystem-Driven Analysis Model. (ICSOB) 2012: Building Products as Innovation Experiment Systems. (ICSOB)
Tony Gorschek Blekinge Institute of Technology 2007: 1st International Global Requirements Engineering Workshop (GREW’07). (ICGSE)
Krzysztof Wnuk Blekinge Institute of Technology 2016: The Impact of Internet of Things on Software Business Models. (ICSOB) 2014: Evaluating the Governance Model of Hardware-Dependent Software Ecosystems – A Case Study of the Axis Ecosystem. (ICSOB) 2013: Engineering Open Innovation – Towards a Framework for Fostering Open Innovation. (ICSOB) 2012: Controlling Lost Opportunity Costs in Agile Development – The Basic Lost Opportunity Estimation Model for Requirements Scoping. (ICSOB) 2011: Requirements Scoping Visualization for Project Management. (ICSOB)
Darja Smite Blekinge Institute of Technology 2019: Offshore outsourcing costs: known or still hidden? (ICGSE) 2017: Calculating the Extra Costs and the Bottom-Line Hourly Cost of Offshoring. (ICGSE) 2010: Software Product Transfers: Lessons Learned from a Case Study. (ICGSE) 2010: What Happens, When Software Product Development Companies Go Global? (ICGSE) 2008: Reporting Empirical Research in Global Software Engineering: A Classification Scheme. (ICGSE) 2007: Project Outcome Predictions: Risk Barometer Based on Historical Data. (ICGSE)
Federico Ciccozzi Mälardalen University 2010: Performing a Project in a Distributed Software Development Course: Lessons Learned. (ICGSE)
Efi Papatheocharous RISE Research Institutes of Sweden 2015: Ecosystems and Open Innovation for Embedded Systems: A Systematic Mapping Study. (ICSOB)
Helena Holmström Olsson Malmö University 2017: Experimentation that Matters: A Multi-case Study on the Challenges with A/B Testing. (ICSOB) 2016: Towards ‘Human/System Synergistic Development’: How Emergent System Characteristics Change Software Development. (ICSOB) 2016: User Dimensions in ‘Internet of Things’ Systems: The UDIT Model. (ICSOB) 2015: Towards Continuous Customer Validation: A Conceptual Model for Combining Qualitative Customer Feedback with Quantitative Customer Observation. (ICSOB) 2014: Ecosystem-Driven Software Development: A Case Study on the Emerging Challenges in Inter-organizational R&D. (ICSOB) 2013: Post-deployment Data Collection in Software-Intensive Embedded Products. (ICSOB)
Jennifer Horkoff Chalmers / Gothenburg University 2018: Modeling Support for Strategic API Planning and Analysis. (ICSOB)
Johan Linåker RISE Research Institutes of Sweden 2015: A Survey on the Perception of Innovation in a Large Product-Focused Software Organization. (ICSOB)
Eriks Klotins Blekinge Institute of Technology 2015: Software Engineering Knowledge Areas in Startup Companies: A Mapping Study. (ICSOB)
Swe-SE-SCI scholars and apparent contemporary research interests: Click on a header to sort by the corresponding column.
Scholar Affiliation Apparent contemporary interests
Claes Wohlin Blekinge Institute of Technology systematic, search, literature, reviews, evidence, decision, strategy, update, knowledge, identification
Jan Bosch Chalmers / Gothenburg University data, continuous, debt, systems, learning, technical, challenges, business, embedded, scale
Emilia Mendes Blekinge Institute of Technology systematic, value, literature, development, reviews, search, agile, estimate, decision, making
Per Runeson Lund University open, data, experimentation, tools, industry, testing, development, design, ecosystems, collaboration
Benoit Baudry KTH Royal Institute of Technology java, maven, test, analysis, fingerprinting, detect, language, behavioral, diversity, code
Tony Gorschek Blekinge Institute of Technology requirements, safety, development, agile, knowledge, decision, start, component, systems, ups
Robert Feldt Chalmers / Gothenburg University testing, analysis, test, development, data, empirical, gui, search, industrial, bayesian
Miroslaw Staron Chalmers / Gothenburg University code, test, learning, machine, method, automotive, improving, data, selection, metrics
Krzysztof Wnuk Blekinge Institute of Technology requirements, open, decision, development, making, knowledge, literature, component, management, supporting
Björn Regnell Lund University open, source, requirements, influence, framework, education, share, balancing, objectives, complexities
Darja Smite Blekinge Institute of Technology large, scale, agile, distributed, projects, development, teams, organizational, enterprise, architecture
Martin Monperrus KTH Royal Institute of Technology repair, program, automated, java, automatic, learning, patch, comprehensive, code, patches
Jürgen Börstler Blekinge Institute of Technology quality, development, agile, code, large, scale, understanding, effort, estimation, empirical
Daniel Méndez Fernández Blekinge Institute of Technology requirements, agile, security, practice, data, industry, quality, practitioners, compliance, development
Martin Höst Lund University analysis, management, vulnerability, industry, academia, communication, challenges, communicating, information, design
Lars Lundberg Blekinge Institute of Technology agile, support, data, capability, development, algorithms, virtual, team, measures, train
Federico Ciccozzi Mälardalen University model, modelling, uml, systems, development, blended, consistency, systematic, industrial, models
Eric Knauss Chalmers / Gothenburg University requirements, agile, development, automotive, systems, scale, large, challenges, system, continuous
Mikael Svahnberg Blekinge Institute of Technology assessing, evidence, decision, making, identification, usage, assets, composite, roadmap, systematic
Markus Borg Administrator testing, learning, performance, time, machine, systems, analysis, system, safety, reinforcement
Efi Papatheocharous RISE Research Institutes of Sweden component, decision, literature, decisions, selection, evidence, practice, making, preliminary, attributes
Richard Torkar Chalmers / Gothenburg University empirical, analysis, data, bayesian, industry, systematic, developers, applying, programming, literature
Helena Holmström Olsson Malmö University data, learning, challenges, systems, embedded, business, online, continuous, experimentation, machine
Patrizio Pelliccione Chalmers / Gothenburg University systems, automotive, robotic, specification, mission, self, architecture, adaptive, development, robots
Antonio Cicchetti Mälardalen University model, systems, modelling, development, adaptive, consistency, system, continuous, decision, systematic
Davide Fucci Blekinge Institute of Technology test, development, requirements, quality, empirical, developers, affective, reactions, results, experience
Gregory Gay Chalmers / Gothenburg University test, generation, fitness, search, function, suites, real, faults, generating, coverage
Emil Alégroth Blekinge Institute of Technology testing, gui, industrial, visual, component, test, translation, decision, selection, models
Richard Berntsson-Svensson Chalmers / Gothenburg University agile, development, requirements, organizations, possible, disregard, obsolete, effort, estimation, data
Björn Lundell Skövde University open, source, lock, standards, organisations, projects, challenges, saas, public, sector
Regina Hebig Chalmers / Gothenburg University test, improving, development, selection, design, machine, learning, models, model, evolution
Emelie Engström Lund University industry, testing, practice, academia, communication, design, feedback, development, autonomous, science
Michael Unterkalmsteiner Blekinge Institute of Technology requirements, quality, start, ups, domain, early, test, artifact, challenges, practitioners
Philipp Leitner Chalmers / Gothenburg University performance, source, cloud, open, continuous, benchmark, service, empirical, bots, applications
Elizabeth Bjarnason Lund University communication, requirements, large, prototyping, distances, scale, located, startups, industry, academia
Nauman Bin Ali Blekinge Institute of Technology search, systematic, literature, quality, reviews, test, impact, industry, practitioners, comparison
Welf Löwe Linneaus University metrics, aggregation, assessment, source, code, density, joint, models, memory, efficient
Birgit Penzenstadler Chalmers / Gothenburg University sustainability, requirements, design, systems, sustainable, awareness, framework, development, family, resilient
Lucas Gren Chalmers / Gothenburg University agile, development, group, teams, maturity, psychology, social, perspective, empirical, practices
Jennifer Horkoff Chalmers / Gothenburg University requirements, modeling, agile, challenges, large, scale, learning, systems, machine, functional
Wasif Afzal Mälardalen University test, testing, model, cases, industrial, embedded, systems, megam, rt2, project
Panagiota Chatzipetrou Örebro University component, requirements, state, practice, start, ups, turnover, attributes, decisions, selection
Bestoun S. Ahmed Karlstad University testing, test, interaction, model, generation, strategy, iot, applications, automated, combinatorial
Daniel Strüber Chalmers / Gothenburg University model, transformation, models, analysis, variability, graph, security, data, management, privacy
Barbara Gallina Mälardalen University safety, process, compliance, systems, processes, checking, design, systematic, assurance, socio
Fabian Fagerholm Blekinge Institute of Technology experimentation, continuous, patterns, education, agile, developers, bad, programming, transformations, temporal
Diego Perez-Palacin Linneaus University performance, assessment, systems, design, adaptive, analysis, resilience, architectural, digital, twin
Johan Linåker RISE Research Institutes of Sweden open, source, data, ecosystems, requirements, collaborative, common, emerging, empirical, collaboration
Thomas Olsson RISE Research Institutes of Sweden requirements, quality, systems, open, empirical, emerging, data, decision, making, development
Jakob Axelsson RISE Research Institutes of Sweden systems, system, constituent, decision, architecture, analysis, design, component, platooning, systematic
Mauro Caporuscio Linneaus University systems, self, physical, cyber, adaptive, decentralized, learning, digital, service, qos
Mira Kajko-Mattsson KTH Royal Institute of Technology everything, possible, structure, even, body, knowledge
Robert Lagerström KTH Royal Institute of Technology modeling, attack, threat, security, architecture, simulations, language, cyber, enterprise, analysis
Jonas Gamalielsson Skövde University open, source, lock, standards, organisations, projects, challenges, saas, public, sector
Javier Gonzalez-Huerta Blekinge Institute of Technology process, technical, debt, business, code, models, linguistic, apis, ownership, contribution
Francis Palma Linneaus University apis, linguistic, rest, quality, antipatterns, detection, iot, design, smells, prediction
Pontus Johnson KTH Royal Institute of Technology language, cyber, attack, modeling, system, analysis, threat, simulations, security, simulation
Terese Besker RISE Research Institutes of Sweden debt, technical, developer, development, work, management, systematic, literature, tools, managing
Peter Fritzson Linköping Univeristy openmodelica, development, cyber, physical, julia, environment, sustainable, systems, digital, twins
Eriks Klotins Blekinge Institute of Technology start, ups, requirements, continuous, covid, practices, cost, benefit, activities, changes
Jelena Zdravkovic Stockholm University business, digital, ecosystems, data, requirements, capability, elicitation, information, systems, modeling
Ulrik Franke RISE Research Institutes of Sweden cyber, insurance, swedish, architecture, sector, census, development, models, companies, system
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University test, analysis, bots, challenges, requirements, development, systems, large, scale, agile
Hussan Munir Malmö University open, tools, source, innovation, theory, openness, artificial, intelligence, machine, learning
Alessio Bucaioni Mälardalen University model, systems, automotive, experience, report, development, domain, generation, railway, modelling
Hannes Holm KTH Royal Institute of Technology alert, variables, influencing, effectiveness, signature, network, intrusion, detection, systems, model
Piotr Tomaszewski RISE Research Institutes of Sweden quality, assurance, generative, dialog, models, evolving, conversational, agent, used, swedish
Deepika Badampudi Blekinge Institute of Technology evidence, reporting, reuse, decision, making, knowledge, translation, origins, consent, anonymity
Jonas Lundberg Linneaus University traffic, air, control, design, visual, analysis, support, human, systems, cognitive
Patrik Berander Malmö University
Ludwik Kuzniarz Blekinge Institute of Technology
Simon Butler Skövde University open, source, projects, hardware, contributions, oss, considerations, challenges, adoption, components
Imed Hammouda Chalmers / Gothenburg University disaster, domain, floss, modeling, api, knowledge, empirical, design, patterns, support
Rebekka Wohlrab Chalmers / Gothenburg University automotive, systems, agile, traceability, boundary, objects, scale, architecture, practices, management
Cyrille Artho KTH Royal Institute of Technology model, testing, formal, techniques, safety, critical, systems, ftscs, smart, contracts
Mariam Kamkar Linköping Univeristy concurrency, memory, pilot, progvis, visualization, tool, object, graphs, shared, student
Saad Mubeen Mälardalen University systems, time, embedded, networks, tsn, timing, scheduling, real, vehicular, end
Kristian Sandahl Linköping Univeristy continuous, integration, flaky, test, delivery, information, needs, project, learning, tests
Lars Pareto Chalmers / Gothenburg University
Binish Tanveer Blekinge Institute of Technology effort, agile, development, estimation, change, impact, analysis, citation, systematic, literature
Kenneth Lind RISE Research Institutes of Sweden contrasting, big, bang, continuous, integration, defect, reports
Birgitta Lindström Skövde University mutation, logic, mutants, test, properties, fuzzy, influence, maximization, social, networks
Michael Mattsson Blekinge Institute of Technology characteristics, affect, preference, decision, models, asset, selection, industrial, questionnaire
Pasqualina Potena RISE Research Institutes of Sweden test, testing, automation, mutation, performance, smart, reinforcement, learning, agent, next
Jeremy Rose Skövde University digital, inclusion, citizens, mobile, information, security, management, small, organisation, technology
Fredrik Karlsson Örebro University information, security, compliance, value, analysis, policy, computerized, policies, method, development
Muhammad Ovais Ahmad Karlstad University development, agile, kanban, scrum, analysis, business, analytics, continuance, projects, preliminary
Fredrik Asplund KTH Royal Institute of Technology collision, safety, minimizing, severity, highly, automated, vehicles, competence, networks, era
Christin Lindholm Lund University
Abu Naser Masud Mälardalen University computation, weak, control, closure, efficient, minimal, interprocedural, programs, reaching, definitions
Maria Ulan RISE Research Institutes of Sweden metrics, aggregation, joint, quality, models, probabilities, weighted, application, defect, prediction
Niklas Lavesson Blekinge Institute of Technology learning, energy, tree, detection, image, machine, binarization, handwritten, digit, recognition
Görel Hedin Lund University systems, reference, attribute, grammars, iot, model, palcom, control, analysis, continuous
Francesco Flammini Linneaus University cyber, learning, railway, physical, systems, networks, intelligent, recognition, security, smart
Daniel Flemström Mälardalen University passive, test, cases, ears, language, testing, interactive, guarded, assertions, specification
Niklas Mellegård RISE Research Institutes of Sweden defect, reports, contrasting, big, bang, continuous, integration, open, bug, bounty
Beatrice Alenljung Skövde University robot, human, interaction, touch, conveying, nao, user, experience, action, intention
Peter Wallin RISE Research Institutes of Sweden product, line, model, industrial, process, detecting, inconsistencies, annotated, models, automotive
Signature SCI works by Swe-SE-SCI scholars: Click on a header to sort by the corresponding column.
Scholar Affiliation Signature SSS works
Claes Wohlin Blekinge Institute of Technology 2022: Successful combination of database search and snowballing for identification of primary studies in systematic literature studies. (Inf. Softw. Technol.) 2022: Is it a case study? – A critical analysis and guidance. (J. Syst. Softw.) 2021: Case Study Research in Software Engineering – It is a Case, and it is a Study, but is it a Case Study? (Inf. Softw. Technol.) 2021: Challenges and recommendations to publishing and using credible evidence in software engineering. (Inf. Softw. Technol.) 2021: Guiding the selection of research methodology in industry-academia collaboration in software engineering. (Inf. Softw. Technol.) 2021: Towards evidence-based decision-making for identification and usage of assets in composite software: A research roadmap. (J. Softw. Evol. Process.) 2020: Guidelines for the search strategy to update systematic literature reviews in software engineering. (Inf. Softw. Technol.) 2015: Towards a decision-making structure for selecting a research design in empirical software engineering. (Empir. Softw. Eng.) 2015: A general theory of software engineering: Balancing human, social and organizational capitals. (J. Syst. Softw.) 2013: Systematic literature reviews in software engineering. (Inf. Softw. Technol.) 2013: On the reliability of mapping studies in software engineering. (J. Syst. Softw.) 2011: Taking novelty to a new level. (Inf. Softw. Technol.) 2009: An analysis of the most cited articles in software engineering journals – 2002. (Inf. Softw. Technol.) 2008: An analysis of the most cited articles in software engineering journals – 2001. (Inf. Softw. Technol.) 2007: Most cited journal articles in software engineering. (Inf. Softw. Technol.) 2007: An analysis of the most cited articles in software engineering journals – 2000. (Inf. Softw. Technol.) 2005: Most cited journal articles in software engineering. (Inf. Softw. Technol.) 2005: An analysis of the most cited articles in software engineering journals – 1999. (Inf. Softw. Technol.) 2004: Are Individual Differences in Software Development Performance Possible to Capture Using a Quantitative Survey?. (Empir. Softw. Eng.) 2003: Prioritizing and Assessing Software Project Success Factors and Project Characteristics using Subjective Data. (Empir. Softw. Eng.) 2001: Assessing Project Success Using Subjective Evaluation Factors. (Softw. Qual. J.) 2000: Subjective evaluation as a tool for learning from software project success. (Inf. Softw. Technol.) 1999: Strategies for industrial relevance in software engineering education. (J. Syst. Softw.) 1995: Soft factors and their impact on time to market. (Softw. Qual. J.) 1995: An Experimental Evaluation of Capture-Recapture in Software Inspections. (Softw. Test. Verification Reliab.) 1994: Certification of Software Components. (IEEE Trans. Software Eng.)
Jan Bosch Chalmers / Gothenburg University 2021: Digital for real: A multicase study on the digital transformation of companies in the embedded systems domain. (J. Softw. Evol. Process.) 2018: Ecosystem traps and where to find them. (J. Softw. Evol. Process.) 2012: Software ecosystems: Taking software development beyond the boundaries of the organization. (J. Syst. Softw.) 2011: Introducing agile customer-centered development in a legacy software product line. (Softw. Pract. Exp.) 2010: From integration to composition: On the impact of software product lines, global development and ecosystems. (J. Syst. Softw.) 2005: Software variability: process and management. (Softw. Process. Improv. Pract.) 2005: Staged adoption of software product families. (Softw. Process. Improv. Pract.) 2003: Software architecture – Engineering quality attributes. (J. Syst. Softw.) 1999: Superimposition: a component adaptation technique. (Inf. Softw. Technol.)
Emilia Mendes Blekinge Institute of Technology 2020: When to update systematic literature reviews in software engineering. (J. Syst. Softw.) 2019: Using Bayesian Network to Estimate the Value of Decisions within the Context of Value-Based Software Engineering: A Multiple Case Study. (Int. J. Softw. Eng. Knowl. Eng.) 2018: Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework. (Softw. Qual. J.) 2008: Replicating studies on cross- vs single-company effort models using the ISBSG Database. (Empir. Softw. Eng.) 2008: Cross-company vs. single-company web effort models using the Tukutuku database: An extended study. (J. Syst. Softw.) 2008: Bayesian Network Models for Web Effort Prediction: A Comparative Study. (IEEE Trans. Software Eng.) 2005: Investigating Web size metrics for early Web cost estimation. (J. Syst. Softw.) 2003: A Comparative Study of Cost Estimation Models for Web Hypermedia Applications. (Empir. Softw. Eng.) 1998: Reusability and maintainability in hypermedia applications for education. (Inf. Softw. Technol.)
Per Runeson Lund University 2021: Open Data Ecosystems – An empirical investigation into an emerging industry collaboration concept. (J. Syst. Softw.) 2014: Variation factors in the design and analysis of replicated controlled experiments – Three (dis)similar studies on inspections versus unit testing. (Empir. Softw. Eng.) 2009: Guidelines for conducting and reporting case study research in software engineering. (Empir. Softw. Eng.) 2003: Test processes in software product evolution – a qualitative survey on the state of practice. (J. Softw. Maintenance Res. Pract.) 1998: An Experimental Evaluation of an Experience-Based Capture-Recapture Method in Software Code Inspections. (Empir. Softw. Eng.)
Benoit Baudry KTH Royal Institute of Technology 2005: Measuring design testability of a UML class diagram. (Inf. Softw. Technol.) 2005: From genetic to bacteriological algorithms for mutation-based testing. (Softw. Test. Verification Reliab.)
Tony Gorschek Blekinge Institute of Technology 2014: On the use of software design models in software development practice: An empirical investigation. (J. Syst. Softw.) 2012: Introduction of a process maturity model for market-driven product management and requirements engineering. (J. Softw. Maintenance Res. Pract.) 2008: Requirements engineering: In search of the dependent variables. (Inf. Softw. Technol.) 2007: A controlled empirical evaluation of a requirements abstraction model. (Inf. Softw. Technol.) 2006: Requirements Abstraction Model. (Requir. Eng.) 2004: Packaging software process improvement issues: a method and a case study. (Softw. Pract. Exp.)
Robert Feldt Chalmers / Gothenburg University 2010: Links between the personalities, views and attitudes of software engineers. (Inf. Softw. Technol.)
Miroslaw Staron Chalmers / Gothenburg University 2018: Industrial experiences from evolving measurement systems into self-healing systems for improved availability. (Softw. Pract. Exp.) 2016: MeSRAM – A method for assessing robustness of measurement programs in large software development organizations and its industrial evaluation. (J. Syst. Softw.) 2012: Critical role of measures in decision processes: Managerial and technical measures in the context of large software development organizations. (Inf. Softw. Technol.) 2011: Developing measurement systems: an industrial case study. (J. Softw. Maintenance Res. Pract.) 2010: A method for forecasting defect backlog in large streamline software development projects and its industrial evaluation. (Inf. Softw. Technol.) 2009: A framework for developing measurement systems and its industrial evaluation. (Inf. Softw. Technol.) 2008: Predicting weekly defect inflow in large software projects based on project planning and test status. (Inf. Softw. Technol.) 2006: Empirical assessment of using stereotypes to improve comprehension of UML models: A set of experiments. (J. Syst. Softw.)
Krzysztof Wnuk Blekinge Institute of Technology 2016: Supporting Scope Tracking and Visualization for Very Large-Scale Requirements Engineering-Utilizing FSC+, Decision Patterns, and Atomic Decision Visualizations. (IEEE Trans. Software Eng.) 2015: Exploring factors affecting decision outcome and lead time in large-scale requirements engineering. (J. Softw. Evol. Process.) 2014: Bridges and barriers to hardware-dependent software ecosystem participation – A case study. (Inf. Softw. Technol.) 2013: Obsolete software requirements. (Inf. Softw. Technol.) 2012: Replication of an experiment on linguistic tool support for consolidation of requirements from multiple sources. (Empir. Softw. Eng.)
Björn Regnell Lund University 2001: An Industrial Case Study on Distributed Prioritisation in Market-Driven Requirements Engineering for Packaged Software. (Requir. Eng.) 2000: Are the Perspectives Really Different? – Further Experimentation on Scenario-Based Reading of Requirements. (Empir. Softw. Eng.) 2000: Towards integration of use case modelling and usage-based testing. (J. Syst. Softw.) 1998: A market-driven requirements engineering process: Results from an industrial process improvement programme. (Requir. Eng.)
Darja Smite Blekinge Institute of Technology 2022: Changes in perceived productivity of software engineers during COVID-19 pandemic: The voice of evidence. (J. Syst. Softw.) 2021: Overcoming cultural barriers to being agile in distributed teams. (Inf. Softw. Technol.) 2020: Vendor Switching: Factors that matter when engineers onboard their own replacement. (J. Syst. Softw.) 2017: Software teams and their knowledge networks in large-scale software development. (Inf. Softw. Technol.) 2014: An empirically based terminology and taxonomy for global software engineering. (Empir. Softw. Eng.) 2013: Offshore insourcing in software development: Structuring the decision-making process. (J. Syst. Softw.) 2012: Lessons learned from transferring software products to India. (J. Softw. Evol. Process.) 2010: Empirical evidence in global software engineering: a systematic review. (Empir. Softw. Eng.) 2006: Global software development projects in one of the biggest companies in Latvia: is geographical distribution a problem? (Softw. Process. Improv. Pract.)
Martin Monperrus KTH Royal Institute of Technology 2013: Automated measurement of models of requirements. (Softw. Qual. J.) 2013: Detecting missing method calls as violations of the majority rule. (ACM Trans. Softw. Eng. Methodol.) 2012: What should developers be aware of? An empirical study on the directives of API documentation. (Empir. Softw. Eng.) 2011: Model-driven generative development of measurement software. (Softw. Syst. Model.)
Jürgen Börstler Blekinge Institute of Technology 2016: Beauty and the Beast: on the readability of object-oriented example programs. (Softw. Qual. J.) 2016: The Role of Method Chains and Comments in Software Readability and Comprehension – An Experiment. (IEEE Trans. Software Eng.) 1995: Integrated software reuse: Management and techniques : Paul Walton and Neil Maiden (eds) Ashgate Publishing, Hants, UK (1993) 178 pp £49.50 hardcover ISBN 1 85742 146 9. (Inf. Softw. Technol.)
Daniel Méndez Fernández Blekinge Institute of Technology 2019: Empirical software engineering: From discipline to interdiscipline. (J. Syst. Softw.) 2019: Artefacts in software engineering: a fundamental positioning. (Softw. Syst. Model.) 2017: Naming the pain in requirements engineering – Contemporary problems, causes, and effects in practice. (Empir. Softw. Eng.) 2015: Naming the pain in requirements engineering: A design for a global family of surveys and first results from Germany. (Inf. Softw. Technol.) 2015: Artefact-based requirements engineering: the AMDiRE approach. (Requir. Eng.) 2012: Field study on requirements engineering: Investigation of artefacts, project parameters, and execution strategies. (Inf. Softw. Technol.)
Martin Höst Lund University 2011: A systematic review of research on open source software in commercial software product development. (Inf. Softw. Technol.) 2001: Exploring bottlenecks in market-driven requirements management processes with discrete event simulation. (J. Syst. Softw.) 2000: Using Students as Subjects-A Comparative Study of Students and Professionals in Lead-Time Impact Assessment. (Empir. Softw. Eng.) 2000: Evaluation of code review methods through interviews and experimentation. (J. Syst. Softw.) 1997: A subjective effort estimation experiment. (Inf. Softw. Technol.)
Lars Lundberg Blekinge Institute of Technology 1989: A Parallel Ada System on an Experimental Multiprocessor. (Softw. Pract. Exp.)
Federico Ciccozzi Mälardalen University 2019: Execution of UML models: a systematic review of research and practice. (Softw. Syst. Model.) 2018: On the automated translational execution of the action language for foundational UML. (Softw. Syst. Model.) 2018: Architecture optimization: speed or accuracy? both! (Softw. Qual. J.) 2016: Explicit connection patterns (ECP) profile and semantics for modelling and generating explicit connections in complex UML composite structures. (J. Syst. Softw.) 2013: Round-trip support for extra-functional property management in model-driven engineering of embedded systems. (Inf. Softw. Technol.)
Eric Knauss Chalmers / Gothenburg University 2018: Continuous clarification and emergent requirements flows in open-commercial software ecosystems. (Requir. Eng.) 2015: Patterns of continuous requirements clarification. (Requir. Eng.)
Mikael Svahnberg Blekinge Institute of Technology 2017: A model for assessing and re-assessing the value of software reuse. (J. Softw. Evol. Process.) 2015: Uni-REPM: a framework for requirements engineering process assessment. (Requir. Eng.) 2013: Uni-REPM: validated and improved. (Requir. Eng.) 2010: A systematic review on strategic release planning models. (Inf. Softw. Technol.) 2007: Six years of evaluating software architectures in student projects. (J. Syst. Softw.) 2005: An Investigation of a Method for Identifying a Software Architecture Candidate with Respect to Quality Attributes. (Empir. Softw. Eng.) 2005: A taxonomy of variability realization techniques. (Softw. Pract. Exp.) 2004: An industrial study on building consensus around software architectures and quality attributes. (Inf. Softw. Technol.) 2003: A Quality-Driven Decision-Support Method for Identifying Software Architecture Candidates. (Int. J. Softw. Eng. Knowl. Eng.) 1999: Evolution in software product lines: two cases. (J. Softw. Maintenance Res. Pract.)
Markus Borg Administrator 2019: Selecting component sourcing options: A survey of software engineering’s broader make-or-buy decisions. (Inf. Softw. Technol.) 2017: Supporting Change Impact Analysis Using a Recommendation System: An Industrial Case Study in a Safety-Critical Context. (IEEE Trans. Software Eng.) 2016: TuneR: a framework for tuning software engineering tools with hands-on instructions in R. (J. Softw. Evol. Process.) 2014: Recovering from a decade: a systematic mapping of information retrieval approaches to software traceability. (Empir. Softw. Eng.)
Efi Papatheocharous RISE Research Institutes of Sweden 2018: The GRADE taxonomy for supporting decision-making of asset selection in software-intensive system development. (Inf. Softw. Technol.) 2017: An investigation of effort distribution among development phases: A four-stage progressive software cost estimation model. (J. Softw. Evol. Process.) 2014: Empirical evidence and state of practice of software agile teams. (J. Softw. Evol. Process.) 2012: A Hybrid Software Cost Estimation Approach Utilizing Decision Trees and Fuzzy Logic. (Int. J. Softw. Eng. Knowl. Eng.)
Richard Torkar Chalmers / Gothenburg University 2022: A Method to Assess and Argue for Practical Significance in Software Engineering. (IEEE Trans. Software Eng.) 2012: Requirements Traceability: a Systematic Review and Industry Case Study. (Int. J. Softw. Eng. Knowl. Eng.)
Helena Holmström Olsson Malmö University 2020: Going digital: Disruption and transformation in software-intensive embedded systems ecosystems. (J. Softw. Evol. Process.) 2017: From ad hoc to strategic ecosystem management: the “Three-Layer Ecosystem Strategy Model” (TeLESM). (J. Softw. Evol. Process.)
Patrizio Pelliccione Chalmers / Gothenburg University 2009: CHARMY: A Framework for Designing and Verifying Architectural Specifications. (IEEE Trans. Software Eng.) 2008: An architectural approach to the correct and automatic assembly of evolving component-based systems. (J. Syst. Softw.)
Antonio Cicchetti Mälardalen University 2019: Multi-view approaches for software and system modelling: a systematic literature review. (Softw. Syst. Model.) 2013: Managing the evolution of data-intensive Web applications by model-driven techniques. (Softw. Syst. Model.)
Davide Fucci Blekinge Institute of Technology 2022: When traceability goes awry: An industrial experience report. (J. Syst. Softw.) 2020: Need for Sleep: The Impact of a Night of Sleep Deprivation on Novice Developers’ Performance. (IEEE Trans. Software Eng.) 2017: A Dissection of the Test-Driven Development Process: Does It Really Matter to Test-First or to Test-Last? (IEEE Trans. Software Eng.) 2015: Towards an operationalization of test-driven development skills: An industrial empirical study. (Inf. Softw. Technol.) 2014: On the role of tests in test-driven development: a differentiated and partial replication. (Empir. Softw. Eng.)
Gregory Gay Chalmers / Gothenburg University 2017: Automated Steering of Model-Based Test Oracles to Admit Real Program Behaviors. (IEEE Trans. Software Eng.) 2016: The Effect of Program and Model Structure on the Effectiveness of MC/DC Test Adequacy Coverage. (ACM Trans. Softw. Eng. Methodol.) 2015: The Risks of Coverage-Directed Test Case Generation. (IEEE Trans. Software Eng.) 2015: Automated Oracle Data Selection Support. (IEEE Trans. Software Eng.) 2010: Finding robust solutions in requirements models. (Autom. Softw. Eng.) 2010: Automatically finding the control variables for complex system behavior. (Autom. Softw. Eng.)
Emil Alégroth Blekinge Institute of Technology 2022: Practitioners’ best practices to Adopt, Use or Abandon Model-based Testing with Graphical models for Software-intensive Systems. (Empir. Softw. Eng.) 2020: Characteristics that affect preference of decision models for asset selection: an industrial questionnaire survey. (Softw. Qual. J.) 2017: On the long-term use of visual gui testing in industrial practice: a case study. (Empir. Softw. Eng.) 2016: Maintenance of automated test suites in industry: An empirical study on Visual GUI Testing. (Inf. Softw. Technol.) 2015: Visual GUI testing in practice: challenges, problemsand limitations. (Empir. Softw. Eng.)
Richard Berntsson-Svensson Chalmers / Gothenburg University 2017: Is role playing in Requirements Engineering Education increasing learning outcome? (Requir. Eng.) 2013: An investigation of how quality requirements are specified in industrial practice. (Inf. Softw. Technol.) 2012: Setting quality targets for coming releases with QUPER: an industrial case study. (Requir. Eng.) 2012: Quality Requirements in Industrial Practice – An Extended Interview Study at Eleven Companies. (IEEE Trans. Software Eng.)
Björn Lundell Skövde University 2011: Practitioner perceptions of Open Source software in the embedded systems area. (J. Syst. Softw.) 2004: Changing perceptions of CASE technology. (J. Syst. Softw.)
Regina Hebig Chalmers / Gothenburg University 2017: The changing balance of technology and process: A case study on a combined setting of model-driven development and classical C coding. (J. Softw. Evol. Process.) 2017: On the complex nature of MDE evolution and its impact on changeability. (Softw. Syst. Model.) 2017: Approaches to Co-Evolution of Metamodels and Models: A Survey. (IEEE Trans. Software Eng.)
Emelie Engström Lund University 2020: How software engineering research aligns with design science: a review. (Empir. Softw. Eng.) 2017: SERP-test: a taxonomy for supporting industry-academia communication. (Softw. Qual. J.) 2013: Test overlay in an emerging software product line – An industrial case study. (Inf. Softw. Technol.) 2011: Software product line testing – A systematic mapping study. (Inf. Softw. Technol.) 2010: A systematic review on regression test selection techniques. (Inf. Softw. Technol.)
Michael Unterkalmsteiner Blekinge Institute of Technology 2016: Large-scale information retrieval in software engineering – an experience report from industrial application. (Empir. Softw. Eng.) 2015: Assessing requirements engineering and software test alignment – Five case studies. (J. Syst. Softw.) 2014: A conceptual framework for SPI evaluation. (J. Softw. Evol. Process.) 2014: A taxonomy for requirements engineering and software test alignment. (ACM Trans. Softw. Eng. Methodol.) 2012: Evaluation and Measurement of Software Process Improvement – A Systematic Literature Review. (IEEE Trans. Software Eng.)
Philipp Leitner Chalmers / Gothenburg University 2019: A mixed-method empirical study of Function-as-a-Service software development in industrial practice. (J. Syst. Softw.)
Elizabeth Bjarnason Lund University 2022: Inter-team communication in large-scale co-located software engineering: a case study. (Empir. Softw. Eng.) 2019: Improving requirements-test alignment by prescribing practices that mitigate communication gaps. (Empir. Softw. Eng.) 2017: The role of distances in requirements communication: a case study. (Requir. Eng.) 2016: A theory of distances in software engineering. (Inf. Softw. Technol.) 2016: A multi-case study of agile requirements engineering and the use of test cases as requirements. (Inf. Softw. Technol.) 2014: Challenges and practices in aligning requirements with verification and validation: a case study of six companies. (Empir. Softw. Eng.) 2012: Are you biting off more than you can chew? A case study on causes and effects of overscoping in large-scale software engineering. (Inf. Softw. Technol.)
Nauman Bin Ali Blekinge Institute of Technology 2019: On the search for industry-relevant regression testing research. (Empir. Softw. Eng.) 2019: A critical appraisal tool for systematic literature reviews in software engineering. (Inf. Softw. Technol.) 2018: Reliability of search in systematic reviews: Towards a quality assessment framework for the automated-search strategy. (Inf. Softw. Technol.) 2016: FLOW-assisted value stream mapping in the early phases of large-scale software development. (J. Syst. Softw.) 2015: Evaluation of simulation-assisted value stream mapping for software product development: Two industrial cases. (Inf. Softw. Technol.) 2014: A systematic literature review on the industrial use of software process simulation. (J. Syst. Softw.)
Welf Löwe Linneaus University 2005: Rapid Construction of Software Comprehension Tools. (Int. J. Softw. Eng. Knowl. Eng.)
Birgit Penzenstadler Chalmers / Gothenburg University 2022: Take a deep breath: Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments. (Empir. Softw. Eng.) 2018: Sustainability analysis and ease of learning in artifact-based requirements engineering: The newest member of the family of studies (It’s a girl!). (Inf. Softw. Technol.)
Lucas Gren Chalmers / Gothenburg University 2021: Is it possible to disregard obsolete requirements? a family of experiments in software effort estimation. (Requir. Eng.) 2020: Agile ways of working: A team maturity perspective. (J. Softw. Evol. Process.) 2018: Non-technical individual skills are weakly connected to the maturity of agile practices. (Inf. Softw. Technol.) 2017: Group development and group maturity when building agile teams: A qualitative and quantitative investigation at eight large companies. (J. Syst. Softw.) 2015: The prospects of a quantitative measurement of agility: A validation study on an agile maturity model. (J. Syst. Softw.)
Jennifer Horkoff Chalmers / Gothenburg University 2019: Creative goal modeling for innovative requirements. (Inf. Softw. Technol.) 2019: Goal-oriented requirements engineering: an extended systematic mapping study. (Requir. Eng.) 2016: Interactive goal model analysis for early requirements engineering. (Requir. Eng.) 2014: Strategic business modeling: representation and reasoning. (Softw. Syst. Model.) 2013: Comparison and evaluation of goal-oriented satisfaction analysis techniques. (Requir. Eng.)
Wasif Afzal Mälardalen University 2016: Software test process improvement approaches: A systematic literature review and an industrial case study. (J. Syst. Softw.) 2015: An experiment on the effectiveness and efficiency of exploratory testing. (Empir. Softw. Eng.) 2014: Prediction of faults-slip-through in large software projects: an empirical evaluation. (Softw. Qual. J.) 2012: Resampling Methods in Software Quality Classification. (Int. J. Softw. Eng. Knowl. Eng.) 2009: A systematic review of search-based testing for non-functional system properties. (Inf. Softw. Technol.)
Panagiota Chatzipetrou Örebro University 2020: Component attributes and their importance in decisions and component selection. (Softw. Qual. J.) 2015: A multivariate statistical framework for the analysis of software effort phase distribution. (Inf. Softw. Technol.) 2015: An experience-based framework for evaluating alignment of software quality goals. (Softw. Qual. J.)
Bestoun S. Ahmed Karlstad University 2017: Handling constraints in combinatorial interaction testing in the presence of multi objective particle swarm and multithreading. (Inf. Softw. Technol.) 2015: Achievement of minimized combinatorial test suite for configuration-aware software functional testing using the Cuckoo Search algorithm. (Inf. Softw. Technol.) 2011: A variable strength interaction test suites generation strategy using Particle Swarm Optimization. (J. Syst. Softw.)
Daniel Strüber Chalmers / Gothenburg University 2019: Model clone detection for rule-based model transformation languages. (Softw. Syst. Model.)
Barbara Gallina Mälardalen University 2020: Quantitative evaluation of tailoring within SPICE-compliant security-informed safety-oriented process lines. (J. Softw. Evol. Process.)
Fabian Fagerholm Blekinge Institute of Technology 2018: Designing and implementing an environment for software start-up education: Patterns and anti-patterns. (J. Syst. Softw.) 2017: The RIGHT model for Continuous Experimentation. (J. Syst. Softw.) 2015: Performance Alignment Work: How software developers experience the continuous adaptation of team performance in Lean and Agile environments. (Inf. Softw. Technol.)
Diego Perez-Palacin Linneaus University 2019: A UML Profile for the Design, Quality Assessment and Deployment of Data-intensive Applications. (Softw. Syst. Model.) 2017: Accurate modeling and efficient QoS analysis of scalable adaptive systems under bursty workload. (J. Syst. Softw.) 2014: On the relationships between QoS and software adaptability at the architectural level. (J. Syst. Softw.) 2012: QoS and energy management with Petri nets: A self-adaptive framework. (J. Syst. Softw.)
Johan Linåker RISE Research Institutes of Sweden 2020: What to share, when, and where: balancing the objectives and complexities of open source software contributions. (Empir. Softw. Eng.) 2020: A method for analyzing stakeholders’ influence on an open source software ecosystem’s requirements engineering process. (Requir. Eng.) 2019: A Community Strategy Framework – How to obtain influence on requirements in meritocratic open source software communities? (Inf. Softw. Technol.) 2018: Motivating the contributions: An Open Innovation perspective on what to share as Open Source Software. (J. Syst. Softw.)
Thomas Olsson RISE Research Institutes of Sweden 2022: A systematic literature review of empirical research on quality requirements. (Requir. Eng.) 2021: A validated model for the scoping process of quality requirements: a multi-case study. (Empir. Softw. Eng.) 2019: An empirical study on decision making for quality requirements. (J. Syst. Softw.)
Jakob Axelsson RISE Research Institutes of Sweden 2016: Quality assurance in software ecosystems: A systematic literature mapping and research agenda. (J. Syst. Softw.) 2014: Characteristics of software ecosystems for Federated Embedded Systems: A case study. (Inf. Softw. Technol.)
Mauro Caporuscio Linneaus University 2017: Building design-time and run-time knowledge for QoS-based component assembly. (Softw. Pract. Exp.) 2016: GoPrime: A Fully Decentralized Middleware for Utility-Aware Service Assembly. (IEEE Trans. Software Eng.) 2015: Engineering Future Internet applications: The Prime approach. (J. Syst. Softw.) 2007: Model-based system reconfiguration for dynamic performance management. (J. Syst. Softw.) 2003: Design and Evaluation of a Support Service for Mobile, Wireless Publish/Subscribe Applications. (IEEE Trans. Software Eng.)
Mira Kajko-Mattsson KTH Royal Institute of Technology 2005: A Survey of Documentation Practice within Corrective Maintenance. (Empir. Softw. Eng.) 2004: Data Mining For Validation In Software Engineering: An Example. (Int. J. Softw. Eng. Knowl. Eng.) 2004: Problems within front-end support. (J. Softw. Maintenance Res. Pract.) 2002: Problem management maturity within corrective maintenance. (J. Softw. Maintenance Res. Pract.) 2000: Software problem reporting and resolution process at ABB Robotics AB: state of practice. (J. Softw. Maintenance Res. Pract.)
Robert Lagerström KTH Royal Institute of Technology 2013: Increasing software development efficiency and maintainability for complex industrial systems – A case study. (J. Softw. Evol. Process.) 2012: Identifying factors affecting software development cost and productivity. (Softw. Qual. J.) 2010: Architecture analysis of enterprise systems modifiability – Models, analysis, and validation. (J. Syst. Softw.) 2010: Architecture analysis of enterprise systems modifiability: a metamodel for software change cost estimation. (Softw. Qual. J.)
Jonas Gamalielsson Skövde University 2015: On organisational influences in software standards and their open source implementations. (Inf. Softw. Technol.) 2014: Sustainability of Open Source software communities beyond a fork: How and why has the LibreOffice project evolved? (J. Syst. Softw.)
Javier Gonzalez-Huerta Blekinge Institute of Technology 2015: Validating a model-driven software architecture evaluation and improvement method: A family of experiments. (Inf. Softw. Technol.)
Francis Palma Linneaus University 2022: Assessing the linguistic quality of REST APIs for IoT applications. (J. Syst. Softw.) 2019: UniDoSA: The Unified Specification and Detection of Service Antipatterns. (IEEE Trans. Software Eng.)
Pontus Johnson KTH Royal Institute of Technology 2016: The Tarpit – A general theory of software engineering. (Inf. Softw. Technol.)
Terese Besker RISE Research Institutes of Sweden 2022: The use of incentives to promote technical debt management. (Inf. Softw. Technol.) 2020: The influence of Technical Debt on software developer morale. (J. Syst. Softw.) 2019: Software developer productivity loss due to technical debt – A replication and extension study examining developers’ development work. (J. Syst. Softw.) 2018: Managing architectural technical debt: A unified model and systematic literature review. (J. Syst. Softw.)
Peter Fritzson Linköping Univeristy 1994: Using assertions in declarative and operational models for automated debugging. (J. Syst. Softw.) 1983: Symbolic debugging through incremental compilation in an integrated environment. (J. Syst. Softw.)
Eriks Klotins Blekinge Institute of Technology 2022: Towards cost-benefit evaluation for continuous software engineering activities. (Empir. Softw. Eng.) 2021: A Progression Model of Software Engineering Goals, Challenges, and Practices in Start-Ups. (IEEE Trans. Software Eng.) 2019: Software engineering in start-up companies: An analysis of 88 experience reports. (Empir. Softw. Eng.)
Jelena Zdravkovic Stockholm University 2015: Capturing consumer preferences as requirements for software product lines. (Requir. Eng.)
Ulrik Franke RISE Research Institutes of Sweden 2018: What can we learn from enterprise architecture models? An experiment comparing models and documents for capability development. (Softw. Syst. Model.) 2014: An architecture framework for enterprise IT service availability analysis. (Softw. Syst. Model.) 2012: Availability of enterprise IT systems: an expert-based Bayesian framework. (Softw. Qual. J.)
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 2019: Evolution of statistical analysis in empirical software engineering research: Current state and steps forward. (J. Syst. Softw.) 2016: Full modification coverage through automatic similarity-based test case selection. (Inf. Softw. Technol.)
Hussan Munir Malmö University 2018: Open innovation using open source tools: a case study at Sony Mobile. (Empir. Softw. Eng.) 2018: A theory of openness for software engineering tools in software organizations. (Inf. Softw. Technol.) 2016: Open innovation in software engineering: a systematic mapping study. (Empir. Softw. Eng.) 2014: Considering rigor and relevance when evaluating test driven development: A systematic review. (Inf. Softw. Technol.)
Alessio Bucaioni Mälardalen University 2022: Enabling automated integration of architectural languages: An experience report from the automotive domain. (J. Syst. Softw.) 2022: Model-based generation of test scripts across product variants: An experience report from the railway industry. (J. Softw. Evol. Process.) 2022: Modelling in low-code development: a multi-vocal systematic review. (Softw. Syst. Model.) 2020: Modelling multi-criticality vehicular software systems: evolution of an industrial component model. (Softw. Syst. Model.)
Hannes Holm KTH Royal Institute of Technology 2015: A Bayesian network model for likelihood estimations of acquirement of critical software vulnerabilities and exploits. (Inf. Softw. Technol.) 2014: Automatic data collection for enterprise architecture models. (Softw. Syst. Model.)
Piotr Tomaszewski RISE Research Institutes of Sweden 2008: From Traditional to Streamline Development – opportunities and challenges. (Softw. Process. Improv. Pract.) 2007: Statistical models vs. expert estimation for fault prediction in modified code – an industrial case study. (J. Syst. Softw.) 2006: The increase of productivity over time – an industrial case study. (Inf. Softw. Technol.) 2005: Software development productivity on a new platform: an industrial case study. (Inf. Softw. Technol.)
Deepika Badampudi Blekinge Institute of Technology 2018: A decision-making process-line for selection of software asset origins and components. (J. Syst. Softw.) 2016: Software component decision-making: In-house, OSS, COTS or outsourcing – A systematic literature review. (J. Syst. Softw.)
Jonas Lundberg Linneaus University 2009: Fast and precise points-to analysis. (Inf. Softw. Technol.)
Patrik Berander Malmö University 2009: Evaluating two ways of calculating priorities in requirements hierarchies – An experiment on hierarchical cumulative voting. (J. Syst. Softw.) 2006: Hierarchical Cumulative Voting (hcv) – Prioritization of Requirements in Hierarchies. (Int. J. Softw. Eng. Knowl. Eng.)
Ludwik Kuzniarz Blekinge Institute of Technology 2011: Empirical extension of a classification framework for addressing consistency in model based development. (Inf. Softw. Technol.)
Simon Butler Skövde University 2022: Considerations and challenges for the adoption of open source components in software-intensive businesses. (J. Syst. Softw.) 2021: On Company Contributions to Community Open Source Software Projects. (IEEE Trans. Software Eng.) 2020: Maintaining interoperability in open source software: A case study of the Apache PDFBox project. (J. Syst. Softw.)
Imed Hammouda Chalmers / Gothenburg University 2011: Managing Concern Knowledge in Software Systems. (Int. J. Softw. Eng. Knowl. Eng.) 2009: Design profiles: toward unified tool support for design patterns and UML profiles. (Softw. Pract. Exp.)
Rebekka Wohlrab Chalmers / Gothenburg University 2020: Why and how to balance alignment and diversity of requirements engineering practices in automotive. (J. Syst. Softw.) 2020: Collaborative traceability management: a multiple case study from the perspectives of organization, process, and culture. (Requir. Eng.) 2019: Boundary objects and their use in agile systems engineering. (J. Softw. Evol. Process.)
Cyrille Artho KTH Royal Institute of Technology 2020: Model-based testing of Apache ZooKeeper: Fundamental API usage and watchers. (Softw. Test. Verification Reliab.) 2003: High-level data races. (Softw. Test. Verification Reliab.)
Mariam Kamkar Linköping Univeristy 1998: Application of program slicing in algorithmic debugging. (Inf. Softw. Technol.) 1995: An overview and comparative classification of program slicing techniques. (J. Syst. Softw.)
Saad Mubeen Mälardalen University 2019: Supporting timing analysis of vehicular embedded systems through the refinement of timing constraints. (Softw. Syst. Model.) 2015: Integrating mixed transmission and practical limitations with the worst-case response-time analysis for Controller Area Network. (J. Syst. Softw.)
Kristian Sandahl Linköping Univeristy 1998: An Extended Replication of an Experiment for Assessing Methods for Software Requirements Inspections. (Empir. Softw. Eng.)
Lars Pareto Chalmers / Gothenburg University 2012: Collaborative prioritization of architectural concerns. (J. Syst. Softw.) 2012: Concern coverage in base station development: an empirical investigation. (Softw. Syst. Model.)
Binish Tanveer Blekinge Institute of Technology 2019: An evaluation of effort estimation supported by change impact analysis in agile software development. (J. Softw. Evol. Process.) 2017: Effort estimation in agile software development: Case study and improvement framework. (J. Softw. Evol. Process.)
Kenneth Lind RISE Research Institutes of Sweden 2012: A Practical Approach to Size Estimation of Embedded Software Components. (IEEE Trans. Software Eng.)
Birgitta Lindström Skövde University 2019: On strong mutation and the theory of subsuming logic-based mutants. (Softw. Test. Verification Reliab.) 2017: Using mutation to design tests for aspect-oriented models. (Inf. Softw. Technol.)
Michael Mattsson Blekinge Institute of Technology 2000: Stability assessment of evolving industrial object-oriented frameworks. (J. Softw. Maintenance Res. Pract.)
Pasqualina Potena RISE Research Institutes of Sweden 2013: Optimization of adaptation plans for a service-oriented architecture with cost, reliability, availability and performance tradeoff. (J. Syst. Softw.)
Jeremy Rose Skövde University 2007: Management competences, not tools and techniques: A grounded examination of software project management at WM-data. (Inf. Softw. Technol.)
Fredrik Karlsson Örebro University 2012: MC Sandbox: Devising a tool for method-user-centered method configuration. (Inf. Softw. Technol.) 2004: Method configuration: adapting to situational characteristics while creating reusable assets. (Inf. Softw. Technol.)
Muhammad Ovais Ahmad Karlstad University 2018: Kanban in software engineering: A systematic mapping study. (J. Syst. Softw.) 2017: An empirical study of portfolio management and Kanban in agile and lean software companies. (J. Softw. Evol. Process.)
Fredrik Asplund KTH Royal Institute of Technology 2019: Exploratory testing: Do contextual factors influence software fault identification? (Inf. Softw. Technol.) 2015: The discourse on tool integration beyond technology, a literature survey. (J. Syst. Softw.)
Christin Lindholm Lund University 2015: Involving user perspective in a software risk management process. (J. Softw. Evol. Process.) 2014: A case study on software risk analysis and planning in medical device development. (Softw. Qual. J.)
Abu Naser Masud Mälardalen University 2022: Efficient computation of minimal weak and strong control closure. (J. Syst. Softw.) 2020: More precise construction of static single assignment programs using reaching definitions. (J. Syst. Softw.)
Maria Ulan RISE Research Institutes of Sweden 2021: Weighted software metrics aggregation and its application to defect prediction. (Empir. Softw. Eng.) 2021: Copula-based software metrics aggregation. (Softw. Qual. J.)
Niklas Lavesson Blekinge Institute of Technology 2014: A method for evaluation of learning components. (Autom. Softw. Eng.)
Görel Hedin Lund University 2005: Teaching extreme programming to large groups of students. (J. Syst. Softw.)
Francesco Flammini Linneaus University 2009: Automatic instantiation of abstract tests on specific configurations for large critical control systems. (Softw. Test. Verification Reliab.)
Daniel Flemström Mälardalen University 2018: Similarity-based prioritization of test case automation. (Softw. Qual. J.)
Niklas Mellegård RISE Research Institutes of Sweden 2016: Impact of Introducing Domain-Specific Modelling in Software Maintenance: An Industrial Case Study. (IEEE Trans. Software Eng.)
Beatrice Alenljung Skövde University 2008: Portraying the practice of decision-making in requirements engineering: a case of large scale bespoke development. (Requir. Eng.)
Peter Wallin RISE Research Institutes of Sweden 2012: Problems and their mitigation in system and software architecting. (Inf. Softw. Technol.)
Bibliometrics for Swe-SE-SCI scholars: Click on a header to sort by the corresponding column.
Scholar Affiliation #Publ. SCI ratio 1st ratio SSS contrib. SSS rating
Claes Wohlin Blekinge Institute of Technology 178 0.44 0.32 32.29 69.62
Jan Bosch Chalmers / Gothenburg University 374 0.15 0.26 16.79 65.31
Emilia Mendes Blekinge Institute of Technology 183 0.21 0.35 13.35 44.34
Per Runeson Lund University 153 0.31 0.18 10.35 38.23
Benoit Baudry KTH Royal Institute of Technology 210 0.18 0.11 7.32 31.19
Tony Gorschek Blekinge Institute of Technology 127 0.49 0.12 12.25 30.69
Robert Feldt Chalmers / Gothenburg University 135 0.3 0.13 5.94 28.21
Miroslaw Staron Chalmers / Gothenburg University 150 0.15 0.28 10.68 26.62
Krzysztof Wnuk Blekinge Institute of Technology 104 0.24 0.27 7.79 25.92
Björn Regnell Lund University 89 0.36 0.19 7.37 24.68
Darja Smite Blekinge Institute of Technology 83 0.25 0.45 10.82 24.36
Martin Monperrus KTH Royal Institute of Technology 113 0.32 0.12 7.97 23.25
Jürgen Börstler Blekinge Institute of Technology 83 0.23 0.33 5.24 21.23
Daniel Méndez Fernández Blekinge Institute of Technology 109 0.18 0.2 8.29 20.3
Martin Höst Lund University 93 0.22 0.2 7.23 19.8
Lars Lundberg Blekinge Institute of Technology 146 0.1 0.3 3.71 18.77
Federico Ciccozzi Mälardalen University 87 0.17 0.37 6.72 18.04
Eric Knauss Chalmers / Gothenburg University 114 0.13 0.27 4.29 17.92
Mikael Svahnberg Blekinge Institute of Technology 34 0.5 0.56 10.87 17.63
Markus Borg Administrator 81 0.17 0.4 5.67 17.04
Efi Papatheocharous RISE Research Institutes of Sweden 59 0.24 0.44 5.45 16.69
Richard Torkar Chalmers / Gothenburg University 72 0.4 0.11 5.13 15.33
Helena Holmström Olsson Malmö University 135 0.09 0.21 4.23 15.01
Patrizio Pelliccione Chalmers / Gothenburg University 159 0.15 0.05 5.55 14.31
Antonio Cicchetti Mälardalen University 104 0.11 0.26 3.83 14.16
Davide Fucci Blekinge Institute of Technology 54 0.24 0.31 6.21 14.01
Gregory Gay Chalmers / Gothenburg University 41 0.29 0.51 6.89 13.89
Emil Alégroth Blekinge Institute of Technology 37 0.35 0.43 6.04 13.81
Richard Berntsson-Svensson Chalmers / Gothenburg University 48 0.23 0.44 5.07 13.13
Björn Lundell Skövde University 85 0.12 0.33 3.55 12.95
Regina Hebig Chalmers / Gothenburg University 77 0.14 0.26 4.46 12.74
Emelie Engström Lund University 39 0.31 0.33 5.97 12.34
Michael Unterkalmsteiner Blekinge Institute of Technology 45 0.29 0.24 6.12 12.2
Philipp Leitner Chalmers / Gothenburg University 118 0.08 0.19 2.89 11.7
Elizabeth Bjarnason Lund University 36 0.25 0.67 7.47 11.38
Nauman Bin Ali Blekinge Institute of Technology 29 0.38 0.41 6.68 11.3
Welf Löwe Linneaus University 121 0.08 0.14 3.01 11.29
Birgit Penzenstadler Chalmers / Gothenburg University 127 0.06 0.41 3.7 10.65
Lucas Gren Chalmers / Gothenburg University 38 0.21 0.76 5.6 10.52
Jennifer Horkoff Chalmers / Gothenburg University 109 0.07 0.38 6.31 10.48
Wasif Afzal Mälardalen University 80 0.12 0.16 6.2 10.47
Panagiota Chatzipetrou Örebro University 23 0.39 0.48 3.74 9.57
Bestoun S. Ahmed Karlstad University 44 0.18 0.3 3.86 9.14
Daniel Strüber Chalmers / Gothenburg University 85 0.08 0.32 2.38 9.07
Barbara Gallina Mälardalen University 94 0.07 0.32 2.47 8.9
Fabian Fagerholm Blekinge Institute of Technology 47 0.15 0.36 3.8 8.75
Diego Perez-Palacin Linneaus University 40 0.17 0.5 4.63 8.72
Johan Linåker RISE Research Institutes of Sweden 22 0.32 0.73 4.45 8.66
Thomas Olsson RISE Research Institutes of Sweden 52 0.13 0.35 3.85 8.55
Jakob Axelsson RISE Research Institutes of Sweden 68 0.09 0.53 3.02 8.46
Mauro Caporuscio Linneaus University 54 0.11 0.59 5.58 8.15
Mira Kajko-Mattsson KTH Royal Institute of Technology 111 0.05 0.69 6.15 8.03
Robert Lagerström KTH Royal Institute of Technology 99 0.06 0.21 5.13 7.8
Jonas Gamalielsson Skövde University 43 0.14 0.4 2.77 7.69
Javier Gonzalez-Huerta Blekinge Institute of Technology 42 0.19 0.17 2.04 7.68
Francis Palma Linneaus University 27 0.22 0.63 2.61 7.59
Pontus Johnson KTH Royal Institute of Technology 93 0.06 0.25 2.37 7.47
Terese Besker RISE Research Institutes of Sweden 22 0.27 0.64 4.36 7.36
Peter Fritzson Linköping Univeristy 129 0.04 0.2 3.54 7.04
Eriks Klotins Blekinge Institute of Technology 18 0.33 0.61 3.42 7.01
Jelena Zdravkovic Stockholm University 99 0.05 0.21 2.34 6.64
Ulrik Franke RISE Research Institutes of Sweden 79 0.06 0.35 3.94 6.55
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 33 0.15 0.36 2.58 6.14
Hussan Munir Malmö University 16 0.31 0.62 4.21 5.95
Alessio Bucaioni Mälardalen University 34 0.12 0.79 4.3 5.69
Hannes Holm KTH Royal Institute of Technology 41 0.1 0.54 2.57 5.63
Piotr Tomaszewski RISE Research Institutes of Sweden 15 0.27 0.8 4.11 5.2
Deepika Badampudi Blekinge Institute of Technology 17 0.24 0.65 2.33 5.17
Jonas Lundberg Linneaus University 74 0.05 0.26 2.0 5.06
Patrik Berander Malmö University 7 0.57 0.71 2.23 4.27
Ludwik Kuzniarz Blekinge Institute of Technology 28 0.11 0.54 1.45 4.19
Simon Butler Skövde University 17 0.18 0.82 3.14 4.14
Imed Hammouda Chalmers / Gothenburg University 73 0.04 0.3 2.8 4.11
Rebekka Wohlrab Chalmers / Gothenburg University 23 0.13 0.7 3.2 4.1
Cyrille Artho KTH Royal Institute of Technology 92 0.03 0.52 2.99 4.02
Mariam Kamkar Linköping Univeristy 31 0.1 0.32 2.38 4.02
Saad Mubeen Mälardalen University 92 0.03 0.42 2.99 4.0
Kristian Sandahl Linköping Univeristy 35 0.2 0.06 1.88 3.94
Lars Pareto Chalmers / Gothenburg University 22 0.14 0.36 2.29 3.87
Binish Tanveer Blekinge Institute of Technology 13 0.23 0.69 2.2 3.84
Kenneth Lind RISE Research Institutes of Sweden 14 0.21 0.64 1.31 3.79
Birgitta Lindström Skövde University 19 0.16 0.37 2.26 3.75
Michael Mattsson Blekinge Institute of Technology 14 0.21 0.5 1.31 3.64
Pasqualina Potena RISE Research Institutes of Sweden 30 0.1 0.1 1.47 3.0
Jeremy Rose Skövde University 51 0.04 0.55 1.59 2.95
Fredrik Karlsson Örebro University 51 0.04 0.49 2.49 2.94
Muhammad Ovais Ahmad Karlstad University 25 0.08 0.44 2.23 2.75
Fredrik Asplund KTH Royal Institute of Technology 22 0.09 0.41 2.2 2.68
Christin Lindholm Lund University 8 0.25 0.75 2.06 2.57
Abu Naser Masud Mälardalen University 15 0.13 0.47 2.13 2.57
Maria Ulan RISE Research Institutes of Sweden 6 0.33 1.0 2.04 2.55
Niklas Lavesson Blekinge Institute of Technology 61 0.03 0.2 1.69 2.55
Görel Hedin Lund University 84 0.02 0.24 1.92 2.42
Francesco Flammini Linneaus University 60 0.02 0.32 1.59 1.75
Daniel Flemström Mälardalen University 10 0.1 0.8 1.09 1.41
Niklas Mellegård RISE Research Institutes of Sweden 14 0.07 0.64 1.13 1.39
Beatrice Alenljung Skövde University 12 0.08 0.58 1.11 1.35
Peter Wallin RISE Research Institutes of Sweden 12 0.08 0.25 1.11 1.24

Detailed information

The source code used to calculate the data and generate the tables is available as open source on GitHub. The main ideas are the following:

  • Publication data are extracted from the manually curated DBLP. Publications that are not indexed by DBLP are not considered. Also, arXiv publications and Software Engineering Notes are removed.
  • Prof. Robert Feldt’s list of SCI-listed SE journals is used to determine the SCI status. This means that the magazines IEEE SW, IEEE Computer, and CACM are excluded.
  • SCI ratio is the fraction of a scholar’s papers that are publications in SCI-listed journals. We do not filter out introduction sections to special issues etc.
  • 1st ratio is the fraction of a scholar’s first-authorships.
  • SSS rating is calculated as the total number of publications multiplied by the weighted harmonic mean between the SCI-ratio and the 1st ratio, where the SCI-ratio is weighted twice as important as the 1st ratio. The SSS ratio can both increase and decrease, thus it is a more interesting metric to follow over time – SCI ratio emphasizes a quality focus (as opposed to paper inflation) and 1st ratio values active research (rather than management and supervision). I like the SSS rating as it indicates how prolific scholars are, but it also deteriorates by unrestrained co-authorships.
  • SSS contrib. is (just like the H-index) a non-decreasing number calculated as 1*SCI-listed first-authorships + 0.1*SCI-listed co-authorships + 0.01*other publications. This metric is useful if you don’t like the ideas of the fluctuating SSS rating.
  • The apparent research interests of individual SSS scholars is calculated by listing the most used terms in the titles of all first-authored publications. A manually curated stop-word list is used in the preprocessing.
  • The research topics of affiliations are calculated using topic modeling (LDA) with the paper titles of first-authored publications of SSS scholars as input. The number of topics and terms per topic are based on the total number of words in the input.

FAQ

Q: Isn’t there enough focus on rankings and lists already?

A. Yes, but let’s do this anyway. The main purpose of the Swe-SE-SCI index is to help navigate the expertise among academic SE scholars in Sweden. The index must be ordered in some way, and it turns into gamification no matter what metric you choose. My original idea was actually to embrace gamification even more by providing achievements in the form of badges.

Q: But there are other prestigious publications venues as well! Feldt’s list doesn’t cover everything. Why don’t you include the SCI-listed journal X?

A. There are indeed other great journals that publish amazing research. However, Feldt’s list is carefully curated for software engineering, I couldn’t do a better job myself.

Q: Shouldn’t you properly acknowledge ICSE publications? Now it’s valued just like a minor research workshop.

A: No. While ICSE is a highly competitive and prestigious venue, it is already recognized enough. I like journal publications and I prefer incentives to redirect paper submissions away from conferences.

Q: Why don’t you include PhD students and postdocs? They also publish great journal papers.

A: True, but I need to select a sustainable scope. As soon as the PhD student gets a permanent position in Sweden I will be happy to add her/him. Also, the main purpose of SWE-SE-SCI is to index expertise in Sweden – scholars with permanent positions are likely to be appropriate contact persons for industry. The SSS scholars can of course, in turn, recommend other internal experts.

Q: Being a co-author to help others is a supportive thing to do. Doesn’t the 1st ratio discourage collaboration? Supervisors get penalized by the SSS ratio.

A: Writing papers together is a great thing to do and what really makes SE research fun. However, the average number of authors on papers is growing – a metric that encourages scholars to think twice before putting her/his name on a paper is a good counter-balance. Supervision is certainly another great thing in research, but it’s not the job for Swe-SE-SCI to highlight.

Q: Software engineering is a multidisciplinary topic, thus considering only a few SCI-listed journals is a problem. Can’t you see that great scholars with plenty of other SCI-listed publications are undervalued?

A: Yes, but Swe-SE-SCI doesn’t try to rank scholars based on their research greatness. Swe-SE-SCI is mainly focusing on contributions in core SE journals. This index is for SE in Sweden, others are welcome to maintain lists for related areas such as computer science, information systems, enterprise architecture, artificial intelligence… the code is available on GitHub. And yes, some senior SSS scholars focusing on other topics might appear surprisingly low on the lists. They might be great researchers, but they apparently don’t focus on SE.

Q: Why don’t you include any open access journals? You support the old broken academic publication system.

A: I include the SCI-listed journals selected by Prof. Feldt. There are open access journals on the SCI “emerging list” such as e-Informatica Software Engineering Journal. I look forward to including such open access journals when they are upgraded to the “extended list”.