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 Guide2Research.

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 2021

  • 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 papers by Baudry (repair bot) and Smite (COVID pair programming).
  • 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 21 104 Topic 1: requirements effort industrial testing models management projects; Topic 2: development systematic process test knowledge large framework; Topic 3: empirical product project multiprocessor applications method challenges; Topic 4: estimation web global quality company literature teaching; Topic 5: agile performance model decision learning value distributed
Chalmers / Gothenburg University 18 55 Topic 1: test modeling design measurement learning empirical programming; Topic 2: requirements model component sustainability models goal support; Topic 3: product variability challenges large management patterns evolution; Topic 4: development industrial quality analysis architecture lines agile; Topic 5: systems open data ecosystems service embedded source
Lund University 7 26 Topic 1: model line analysis grammars project selection processes; Topic 2: management systematic distances scale effects framework quality; Topic 3: development regression open large practices language methods; Topic 4: test risk collaboration improving industry source jastadd; Topic 5: requirements testing product attribute method evidence design
RISE Research Institutes of Sweden 12 25 Topic 1: embedded real size prediction networks fault integration; Topic 2: development architecture industrial enterprise reports service systematic; Topic 3: systems cost models code making framework quality; Topic 4: estimation analysis decision model automotive traceability industry; Topic 5: time cyber product impact modified availability components
KTH Royal Institute of Technology 7 20 Topic 1: analysis management modeling theory evaluating application practice; Topic 2: corrective automatic agile evolution techniques network models; Topic 3: maintenance systems checking cm3 risk attacks eliciting; Topic 4: testing process problem test framework probabilistic critical; Topic 5: model architecture enterprise vulnerability business maturity activities
Mälardalen University 7 17 Topic 1: embedded time test messages modelling product language; Topic 2: systems timing modeling network uml area automotive; Topic 3: analysis development distributed response models mixed real; Topic 4: model component vehicular process systematic complex testing; Topic 5: safety end industrial supporting management lines web
Linneaus Univerity 6 10 Topic 1: self control logp response task resilience assembly; Topic 2: design time model component machine behavioral aware; Topic 3: service adaptive security critical modeling graphs decentralized; Topic 4: analysis antipatterns middleware programs formal applications work; Topic 5: systems detection architecture patterns management specification machines
Skövde University 6 10 Topic 1: projects action java perceptions oss design knowledge; Topic 2: standards identifier government lock project openness information; Topic 3: model systems theory digital practice method names; Topic 4: open source development experiences companies analysis designing; Topic 5: organisations swedish public tool sector naming challenges
Malmö University 3 8 Topic 1: embedded data; Topic 2: ecosystem data
Linköping University 3 5 Topic 1: slicing object development physical parallel; Topic 2: language cyber algorithmic 2010 tools; Topic 3: modelica environment equation openmodelica incremental; Topic 4: debugging modeling dynamic testing systems
Karlstad University 2 5 Topic 1: testing model swarm descriptive; Topic 2: interaction agile performance papers; Topic 3: systematic combinatorial applications particle; Topic 4: kanban development analysis automated
Örebro University 1 3 Topic 1: analysis requirements phase; Topic 2: prioritization distribution quality; Topic 3: framework component statistical
Stockholm University 1 1 Topic 1: processes modeling services frameworks; Topic 2: business requirements process service; Topic 3: organizations governance capability open
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.)
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: Combining Scenario-based Requirements with Static Verification and Dynamic Testing. (REFSQ) 1995: Improving the use case driven approach to requirements engineering. (RE)
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)
Daniel Méndez Fernández Blekinge Institute of Technology 2015: Artefact-based requirements engineering: the AMDiRE approach. (Requir. Eng.)
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.)
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)
Markus Borg RISE Research Institutes of Sweden 2017: Piggybacking on an Autonomous Hauler: Business Models Enabling a System-of-Systems Approach to Mapping an Underground Mine. (RE)
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)
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)
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.)
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)
Barbara Gallina Mälardalen University 2007: A Template for Requirement Elicitation of Dependable Product Lines. (REFSQ)
Hannes Holm KTH Royal Institute of Technology 2015: Requirements engineering: The quest for the dependent variable. (RE)
Thomas Olsson RISE Research Institutes of Sweden 2018: QREME – Quality Requirements Management Model for Supporting Decision-Making. (REFSQ)
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 2020: Evaluating the Effects of Different Requirements Representations on Writing Test Cases. (REFSQ)
Jelena Zdravkovic Stockholm University 2015: Capturing consumer preferences as requirements for software product lines. (Requir. Eng.)
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)
Ivica Crnkovic Chalmers / Gothenburg University 2013: Embedded Systems Software Architecture. (J. Syst. Archit.) 2005: Components and Services Session Report. (WICSA)
Patrizio Pelliccione Chalmers / Gothenburg University 2017: Automotive Architecture Framework: The experience of Volvo Cars. (J. Syst. Archit.)
Mauro Caporuscio Linneaus Univerity 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)
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.)
Francis Palma Linneaus Univerity 2014: Specification and Detection of SOA Antipatterns in Web Services. (ECSA)
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)
Narges Khakpour Linneaus Univerity 2017: Control of Self-adaptation Under Partial Observation: A Modular Approach. (ECSA)
Alessio Bucaioni Mälardalen University 2021: Aligning Architecture with Business Goals in the Automotive Domain. (ICSA) 2020: Technical Architectures for Automotive Systems. (ICSA)
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 University 1998: Modelica – A Unified Object-Oriented Language for System Modelling and Simulation. (ECOOP)
Jonas Lundberg Linneaus Univerity 2008: Fast and Precise Points-to Analysis. (SCAM)
Simon Butler Skövde University 2011: Improving the Tokenisation of Identifier Names. (ECOOP)
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 RISE Research Institutes of Sweden 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)
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)
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)
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 2018: Improving continuous integration with similarity-based test case selection. (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)
Alessio Bucaioni Mälardalen University 2021: Model-based Automation of Test Script Generation Across Product Variants: a Railway Perspective. (AST@ICSE)
Daniel Flemström Mälardalen University 2021: Industrial Scale Passive Testing with T-EARS. (ICST) 2017: SAGA Toolbox: Interactive Testing of Guarded Assertions. (ICST)
Francesco Flammini Linneaus Univerity 2009: Automatic instantiation of abstract tests on specific configurations for large critical control systems. (Softw. Test. Verification Reliab.)
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 RISE Research Institutes of Sweden 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)
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)
Francis Palma Linneaus Univerity 2014: Specification and Detection of SOA Antipatterns. (ICSME)
Imed Hammouda Chalmers / Gothenburg University 2004: Documenting Maintenance Tasks Using Maintenance Patterns. (CSMR)
Mariam Kamkar Linköping University 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)
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)
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)
Ivica Crnkovic Chalmers / Gothenburg University 1999: Why Do Some Mature Organizations Not Use Mature CM Tools? (SCM) 1998: Change Measurements in an SCM Process. (SCM) 1997: Experience with Change-Oriented SCM Tools. (SCM) 1996: Experience of Using a Simple SCM Tool in a Complex Development Environment. (SCM)
Thorsten Berger Chalmers / Gothenburg University 2015: What is a feature?: a qualitative study of features in industrial software product lines. (SPLC) 2014: To connect or not to connect: experiences from modeling topological variability. (SPLC) 2010: Feature-to-Code Mapping in Two Large Product Lines. (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)
Muhammad Usman Blekinge Institute of Technology 2016: Effort Estimation in Co-located and Globally Distributed Agile Software Development: A Comparative Study. (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 2005: Evaluation of Three Methods to Predict Project Success: A Case Study. (PROFES)
Jan Bosch Chalmers / Gothenburg University 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)
Darja Smite Blekinge Institute of Technology 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)
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)
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.)
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)
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)
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)
Eric Knauss Chalmers / Gothenburg University 2009: Investigating the Impact of Software Requirements Specification Quality on Project Success. (PROFES)
Markus Borg RISE Research Institutes of Sweden 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.)
Michael Unterkalmsteiner Blekinge Institute of Technology 2014: A conceptual framework for SPI evaluation. (J. Softw. Evol. Process.)
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)
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)
Emelie Engström Lund University 2010: A Qualitative Survey of Regression Testing Practices. (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)
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)
Mira Kajko-Mattsson KTH Royal Institute of Technology 2015: Tackling the incompleteness of software engineering education with the ESSENCE kernel. (ICSSP)
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)
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)
Jan-Philipp Steghöfer Chalmers / Gothenburg University 2019: Challenges of Scaled Agile for Safety-Critical Systems. (PROFES)
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)
Piotr Tomaszewski RISE Research Institutes of Sweden 2008: From Traditional to Streamline Development – opportunities and challenges. (Softw. Process. Improv. Pract.)
Ludwik Kuzniarz Blekinge Institute of Technology 2002: Extracting Initial UML Domain Models from Daml+OIL Encoded Ontologies. (PROFES)
Deepika Badampudi Blekinge Institute of Technology 2013: Perspectives on Productivity and Delays in Large-Scale Agile Projects. (XP)
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)
Stig Larsson RISE Research Institutes of Sweden 2005: Case Study: Software Product Integration Practices. (PROFES) 2004: Selecting CMMI Appraisal Classes Based on Maturity and Openness. (PROFES)
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.)
Thorsten Berger Chalmers / Gothenburg University 2014: Three Cases of Feature-Based Variability Modeling in Industry. (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)
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)
Björn Lundell Skövde University 2006: UML Model Interchange in Heterogeneous Tool Environments: An Analysis of Adoptions of XMI 2. (MoDELS)
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)
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.)
Hannes Holm KTH Royal Institute of Technology 2014: Automatic data collection for enterprise architecture models. (Softw. Syst. Model.)
Saad Mubeen Mälardalen University 2019: Supporting timing analysis of vehicular embedded systems through the refinement of timing constraints. (Softw. Syst. Model.)
Javier Gonzalez-Huerta Blekinge Institute of Technology 2013: Defining and Validating a Multimodel Approach for Product Architecture Derivation and Improvement. (MoDELS)
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)
Alessio Bucaioni Mälardalen University 2020: Modelling multi-criticality vehicular software systems: evolution of an industrial component model. (Softw. Syst. Model.)
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)
Emelie Engström Lund University 2017: SERP-test: a taxonomy for supporting industry-academia communication. (Softw. Qual. J.)
Wasif Afzal Mälardalen University 2014: Prediction of faults-slip-through in large software projects: an empirical evaluation. (Softw. Qual. J.)
Emil Alégroth Blekinge Institute of Technology 2020: Characteristics that affect preference of decision models for asset selection: an industrial questionnaire survey. (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)
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.)
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)
Barbara Gallina Mälardalen University 2007: Coordinated Atomic Actions for Dependable Distributed Systems: the Current State in Concepts, Semantics and Verification Means. (ISSRE)
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.)
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.)
Birgitta Lindström Skövde University 2007: Generating Trace-Sets for Model-based Testing. (ISSRE)
Christin Lindholm Lund University 2014: A case study on software risk analysis and planning in medical device development. (Softw. Qual. J.)
Niklas Mellegård RISE Research Institutes of Sweden 2012: A Light-Weight Defect Classification Scheme for Embedded Automotive Software and Its Initial Evaluation. (ISSRE)
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)
Francesco Flammini Linneaus Univerity 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)
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 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.)
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.)
Björn Regnell Lund University 2008: Supporting Roadmapping of Quality Requirements. (IEEE Softw.)
Jürgen Börstler Blekinge Institute of Technology 2002: Teaching the PSP: Challenges and Lessons Learned. (IEEE Softw.)
Lars Lundberg Blekinge Institute of Technology 1989: A Parallel Ada System on an Experimental Multiprocessor. (Softw. Pract. Exp.)
Ivica Crnkovic Chalmers / Gothenburg University 2011: Software Components beyond Programming: From Routines to Services. (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.)
Mikael Svahnberg Blekinge Institute of Technology 2005: A taxonomy of variability realization techniques. (Softw. Pract. Exp.)
Eric Knauss Chalmers / Gothenburg University 2019: The Missing Requirements Perspective in Large-Scale Agile System Development. (IEEE Softw.)
Markus Borg RISE Research Institutes of Sweden 2018: Digitalization of swedish government agencies: a perspective through the lens of a software development census. (ICSE-SEIS)
Federico Ciccozzi Mälardalen University 2017: Model-Driven Engineering for Mission-Critical IoT Systems. (IEEE Softw.)
Michael Unterkalmsteiner Blekinge Institute of Technology 2018: Process Improvement Archaeology: What Led Us Here, and What’s Next? (IEEE Softw.)
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.)
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.)
Fabian Fagerholm Blekinge Institute of Technology 2014: Onboarding in Open Source Projects. (IEEE Softw.)
Mauro Caporuscio Linneaus Univerity 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.)
Birgit Penzenstadler Chalmers / Gothenburg University 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.)
Peter Fritzson Linköping University 1995: High-level Mathematical Modeling And Programming. (IEEE Softw.)
Imed Hammouda Chalmers / Gothenburg University 2009: Design profiles: toward unified tool support for design patterns and UML profiles. (Softw. Pract. Exp.)
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)
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)
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)
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)
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, literature, reviews, decision, knowledge, search, strategy, update, global, making
Jan Bosch Chalmers / Gothenburg University continuous, systems, data, debt, technical, challenges, learning, large, integration, development
Emilia Mendes Blekinge Institute of Technology systematic, value, literature, reviews, effort, development, agile, making, decision, bayesian
Per Runeson Lund University open, data, tools, experimentation, systems, testing, analysis, practice, innovation, development
Benoit Baudry KTH Royal Institute of Technology code, automatic, browser, java, test, fingerprinting, language, analysis, product, maven
Tony Gorschek Blekinge Institute of Technology requirements, safety, development, knowledge, systems, decision, agile, literature, start, component
Robert Feldt Chalmers / Gothenburg University testing, test, analysis, development, search, empirical, gui, industrial, data, generation
Miroslaw Staron Chalmers / Gothenburg University method, code, test, automotive, quality, learning, machine, complexity, model, industrial
Darja Smite Blekinge Institute of Technology scale, distributed, large, projects, development, agile, teams, offshoring, organizational, architecture
Björn Regnell Lund University open, requirements, source, influence, ecosystems, framework, supporting, patterns, education, firms
Krzysztof Wnuk Blekinge Institute of Technology requirements, open, decision, supporting, development, systematic, selection, knowledge, analysis, process
Martin Monperrus KTH Royal Institute of Technology repair, program, automatic, java, automated, patch, bug, learning, code, impact
Jürgen Börstler Blekinge Institute of Technology agile, quality, development, projects, scale, large, effort, estimation, method, practices
Lars Lundberg Blekinge Institute of Technology agile, team, cassandra, virtual, support, development, capability, aware, energy, marketing
Martin Höst Lund University analysis, management, methods, stpa, safety, open, practices, fmea, components, challenges
Ivica Crnkovic Chalmers / Gothenburg University systems, challenges, heterogeneous, development, machine, learning, component, platforms, data, optimization
Daniel Méndez Fernández Blekinge Institute of Technology requirements, agile, practice, security, data, functional, quality, industry, development, design
Mikael Svahnberg Blekinge Institute of Technology assessing, systems, rule, systematic, model, intents, reuse, adherence, business, intent
Eric Knauss Chalmers / Gothenburg University agile, requirements, automotive, development, systems, scale, challenges, large, management, system
Markus Borg RISE Research Institutes of Sweden testing, learning, analysis, requirements, time, performance, safety, systems, industrial, machine
Federico Ciccozzi Mälardalen University model, modelling, uml, systems, models, development, systematic, distributed, execution, vehicular
Efi Papatheocharous RISE Research Institutes of Sweden component, decision, selection, development, decisions, model, context, making, attributes, vehicle
Patrizio Pelliccione Chalmers / Gothenburg University systems, automotive, robotic, mission, specification, perspective, self, missions, domain, robotics
Gregory Gay Chalmers / Gothenburg University test, generation, faults, fitness, real, suites, search, function, coverage, generating
Richard Torkar Chalmers / Gothenburg University analysis, literature, test, data, systematic, testing, search, industry, agile, industrial
Michael Unterkalmsteiner Blekinge Institute of Technology requirements, start, quality, ups, domain, test, systems, startups, industrial, specific
Richard Berntsson-Svensson Chalmers / Gothenburg University agile, requirements, development, model, organizations, multiple, process, management, data, effort
Helena Holmström Olsson Malmö University data, systems, challenges, learning, online, development, experimentation, continuous, scale, business
Emelie Engström Lund University industry, design, requirements, test, practice, testing, science, communication, taxonomy, academia
Thorsten Berger Chalmers / Gothenburg University feature, product, variability, lines, editing, projectional, robotics, systems, empirical, modeling
Jennifer Horkoff Chalmers / Gothenburg University requirements, modeling, agile, scale, analysis, goal, challenges, large, systems, istar
Welf Löwe Linneaus Univerity models, code, assessment, metrics, density, joint, source, data, self, machine
Nauman Bin Ali Blekinge Institute of Technology systematic, quality, industry, practitioners, test, search, impact, literature, development, regression
Regina Hebig Chalmers / Gothenburg University evolution, development, model, process, models, test, machine, improving, systems, learning
Wasif Afzal Mälardalen University test, testing, industrial, model, cases, rt2, systematic, project, systems, megam
Björn Lundell Skövde University open, source, standards, lock, projects, organisations, long, interoperability, term, companies
Davide Fucci Blekinge Institute of Technology test, development, requirements, developers, empirical, effects, quality, effect, code, support
Emil Alégroth Blekinge Institute of Technology testing, gui, visual, industrial, component, test, translation, empirical, selection, industry
Philipp Leitner Chalmers / Gothenburg University performance, source, cloud, continuous, open, service, applications, empirical, deployment, benchmark
Panagiota Chatzipetrou Örebro University component, requirements, decisions, agile, state, attributes, selection, practice, start, turnover
Elizabeth Bjarnason Lund University requirements, distances, communication, improving, test, learning, mining, development, automated, experimentation
Mira Kajko-Mattsson KTH Royal Institute of Technology even, body, possible, everything, structure, knowledge
Antonio Cicchetti Mälardalen University model, systems, adaptive, selection, decision, modelling, component, system, gameful, support
Fabian Fagerholm Blekinge Institute of Technology experimentation, patterns, education, continuous, bad, product, agile, developers, developer, service
Mauro Caporuscio Linneaus Univerity self, systems, adaptive, decentralized, service, assembly, physical, cyber, learning, aware
Pontus Johnson KTH Royal Institute of Technology modeling, language, probabilistic, architecture, attack, enterprise, analysis, system, prediction, vulnerability
Birgit Penzenstadler Chalmers / Gothenburg University sustainability, requirements, design, systems, development, thinking, effects, modeling, awareness, analysis
Barbara Gallina Mälardalen University safety, process, compliance, systems, processes, tool, checking, cloud, data, line
Jan-Philipp Steghöfer Chalmers / Gothenburg University traceability, systems, challenges, agile, project, management, automotive, needs, tool, industrial
Bestoun S. Ahmed Karlstad University testing, interaction, test, combinatorial, generation, automated, model, applications, strategy, framework
Jakob Axelsson RISE Research Institutes of Sweden systems, system, analysis, architecture, constituent, component, decision, platooning, opportunities, decisions
Robert Lagerström KTH Royal Institute of Technology modeling, attack, threat, architecture, enterprise, language, probabilistic, system, simulations, systems
Peter Fritzson Linköping University openmodelica, development, systems, physical, cyber, model, julia, differential, integrated, including
Muhammad Usman Blekinge Institute of Technology effort, development, estimation, systematic, taxonomy, agile, search, reviews, evaluate, strategy
Ulrik Franke RISE Research Institutes of Sweden cyber, insurance, swedish, decision, architecture, making, development, models, data, analysis
Hussan Munir Malmö University open, tools, innovation, source, openness, theory, heroku, ecosystems, contributions, organizations
Hannes Holm KTH Royal Institute of Technology alert, correlation, readily, exploits, verification, available, predicting, successful, vulnerabilities, exploitation
Jonas Lundberg Linneaus Univerity control, traffic, analysis, air, design, systems, language, visual, cognitive, time
Jonas Gamalielsson Skövde University open, source, standards, lock, projects, organisations, long, interoperability, term, companies
Thomas Olsson RISE Research Institutes of Sweden requirements, quality, development, companies, systems, swedish, data, open, game, decision
Piotr Tomaszewski RISE Research Institutes of Sweden industry, banking, years, challenges, adopting, safe, introduction
Francis Palma Linneaus Univerity service, apis, detection, systems, analysis, patterns, smells, design, prediction, antipatterns
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University test, analysis, challenges, requirements, bots, development, system, evaluating, agile, scale
Jelena Zdravkovic Stockholm University capability, business, modeling, digital, systems, requirements, ecosystems, development, information, data
Saad Mubeen Mälardalen University systems, embedded, end, timing, vehicular, automotive, time, analysis, component, core
Javier Gonzalez-Huerta Blekinge Institute of Technology process, business, models, technical, patterns, debt, cultural, cmmn, agile, analysis
Patrik Berander Malmö University
Ludwik Kuzniarz Blekinge Institute of Technology model, pilot, teaching, development
Imed Hammouda Chalmers / Gothenburg University open, disaster, source, communities, modeling, api, floss, domain, projects, strategic
Mariam Kamkar Linköping University concurrency, phenomenographic, common, introductory, mistakes, shared, graphs, student, memory, view
Deepika Badampudi Blekinge Institute of Technology making, decision, knowledge, translation, cots, oss, systematic, origins, component, house
Lars Pareto Chalmers / Gothenburg University interaction, multiple, employing, agile, large, embedded, inter, companies, group, speed
Cyrille Artho KTH Royal Institute of Technology testing, test, model, systems, formal, techniques, safety, ftscs, java, critical
Kenneth Lind RISE Research Institutes of Sweden defect, integration, big, bang, reports, continuous, contrasting, introducing, modelling, specific
Birgitta Lindström Skövde University mutation, test, mutants, subsuming, testing, strong, properties, logic, systems, cps
Binish Tanveer Blekinge Institute of Technology effort, development, agile, estimation, analysis, change, impact, devops, hybrid, systematic
Kristian Sandahl Linköping University learning, machine, scale, large, continuous, integration, systems, project, automated, localization
Michael Mattsson Blekinge Institute of Technology preference, asset, decision, questionnaire, characteristics, affect, selection, models, industrial
Stig Larsson RISE Research Institutes of Sweden systems, time, integration, test, analysis, consistent, life, network, dependency, sensor
Pasqualina Potena RISE Research Institutes of Sweden test, testing, mutation, automation, analysis, learning, next, sets, efficient, prioritization
Jeremy Rose Skövde University digital, citizens, model, firms, drivers, innovation, inclusion, small, examples, analytics
Narges Khakpour Linneaus Univerity self, systems, adaptive, control, adaptations, security, formal, model, structural, coordinated
Simon Butler Skövde University projects, contributions, oss, source, open, pdfbox, project, established, procurement, maintaining
Muhammad Ovais Ahmad Karlstad University development, kanban, scrum, agile, empirical, analysis, comparing, projects, processes, scrumban
Christin Lindholm Lund University
Niklas Lavesson Blekinge Institute of Technology learning, energy, tree, image, binarization, clustering, machine, detection, mining, mixture
Görel Hedin Lund University systems, reference, attribute, iot, grammars, programming, model, palcom, feature, composing
Alessio Bucaioni Mälardalen University systems, model, automotive, core, vehicular, development, timing, domain, component, automation
Niklas Mellegård RISE Research Institutes of Sweden defect, reports, bounty, bang, bug, industrial, mapping, programs, open, integration
Daniel Flemström Mälardalen University passive, test, assertions, guarded, interactive, testing, industrial, prioritization, development, exploring
Beatrice Alenljung Skövde University robot, human, interaction, action, intention, user, touch, anemone, conveying, recognition
Francesco Flammini Linneaus Univerity cyber, systems, physical, smart, intelligent, security, opportunities, self, adaptation, networks
Maria Ulan RISE Research Institutes of Sweden metrics, joint, aggregation, models, probabilities, quality, weighted, meaningful, inside, distributions
Peter Wallin RISE Research Institutes of Sweden product, line, model, industrial, analysis, quarry, context, inconsistencies, automotive, models
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 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.) 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 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 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.)
Darja Smite Blekinge Institute of Technology 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.)
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.)
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.)
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.)
Lars Lundberg Blekinge Institute of Technology 1989: A Parallel Ada System on an Experimental Multiprocessor. (Softw. Pract. Exp.)
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.)
Ivica Crnkovic Chalmers / Gothenburg University 2011: A Classification Framework for Software Component Models. (IEEE Trans. Software Eng.) 2005: Automated Component-Based Software Engineering. (J. Syst. Softw.) 2002: Challenges of component-based development. (J. Syst. Softw.)
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.)
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.)
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.)
Markus Borg RISE Research Institutes of Sweden 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.)
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.)
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.)
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.)
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.)
Richard Torkar Chalmers / Gothenburg University 2012: Requirements Traceability: a Systematic Review and Industry Case Study. (Int. J. Softw. Eng. Knowl. Eng.)
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.)
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.)
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.)
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.)
Thorsten Berger Chalmers / Gothenburg University 2020: The state of adoption and the challenges of systematic variability management in industry. (Empir. Softw. Eng.) 2014: Variability mechanisms in software ecosystems. (Inf. Softw. Technol.) 2013: A Study of Variability Models and Languages in the Systems Software Domain. (IEEE Trans. Software Eng.)
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.)
Welf Löwe Linneaus Univerity 2005: Rapid Construction of Software Comprehension Tools. (Int. J. Softw. Eng. Knowl. Eng.)
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.)
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.)
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.)
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.)
Davide Fucci Blekinge Institute of Technology 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.)
Emil Alégroth Blekinge Institute of Technology 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.)
Philipp Leitner Chalmers / Gothenburg University 2019: A mixed-method empirical study of Function-as-a-Service software development in industrial practice. (J. Syst. Softw.)
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.)
Elizabeth Bjarnason Lund University 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.)
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.)
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.)
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.)
Mauro Caporuscio Linneaus Univerity 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.)
Pontus Johnson KTH Royal Institute of Technology 2016: The Tarpit – A general theory of software engineering. (Inf. Softw. Technol.)
Birgit Penzenstadler Chalmers / Gothenburg University 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.)
Barbara Gallina Mälardalen University 2020: Quantitative evaluation of tailoring within SPICE-compliant security-informed safety-oriented process lines. (J. Softw. Evol. Process.)
Jan-Philipp Steghöfer Chalmers / Gothenburg University 2017: No silver brick: Opportunities and limitations of teaching Scrum with Lego workshops. (J. Syst. Softw.)
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.)
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.)
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.)
Peter Fritzson Linköping University 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.)
Muhammad Usman Blekinge Institute of Technology 2018: Effort estimation in large-scale software development: An industrial case study. (Inf. Softw. Technol.) 2018: Developing and using checklists to improve software effort estimation: A multi-case study. (J. Syst. Softw.) 2017: An Effort Estimation Taxonomy for Agile Software Development. (Int. J. Softw. Eng. Knowl. Eng.) 2017: Taxonomies in software engineering: A Systematic mapping study and a revised taxonomy development method. (Inf. Softw. Technol.)
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.)
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.)
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.)
Jonas Lundberg Linneaus Univerity 2009: Fast and precise points-to analysis. (Inf. Softw. Technol.)
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.)
Thomas Olsson RISE Research Institutes of Sweden 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.)
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.)
Francis Palma Linneaus Univerity 2019: UniDoSA: The Unified Specification and Detection of Service Antipatterns. (IEEE Trans. Software Eng.)
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.)
Jelena Zdravkovic Stockholm University 2015: Capturing consumer preferences as requirements for software product lines. (Requir. Eng.)
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.)
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.)
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.)
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.)
Mariam Kamkar Linköping University 1998: Application of program slicing in algorithmic debugging. (Inf. Softw. Technol.) 1995: An overview and comparative classification of program slicing techniques. (J. Syst. Softw.)
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.)
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.)
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.)
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.)
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.)
Kristian Sandahl Linköping University 1998: An Extended Replication of an Experiment for Assessing Methods for Software Requirements Inspections. (Empir. Softw. Eng.)
Michael Mattsson Blekinge Institute of Technology 2000: Stability assessment of evolving industrial object-oriented frameworks. (J. Softw. Maintenance Res. Pract.)
Stig Larsson RISE Research Institutes of Sweden 2009: Software product integration: A case study-based synthesis of reference models. (Inf. Softw. Technol.)
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.)
Narges Khakpour Linneaus Univerity 2012: HPobSAM for modeling and analyzing IT Ecosystems – Through a case study. (J. Syst. Softw.)
Simon Butler Skövde University 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.)
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.)
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.)
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.)
Alessio Bucaioni Mälardalen University 2020: Modelling multi-criticality vehicular software systems: evolution of an industrial component model. (Softw. Syst. Model.)
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.)
Daniel Flemström Mälardalen University 2018: Similarity-based prioritization of test case automation. (Softw. Qual. J.)
Beatrice Alenljung Skövde University 2008: Portraying the practice of decision-making in requirements engineering: a case of large scale bespoke development. (Requir. Eng.)
Francesco Flammini Linneaus Univerity 2009: Automatic instantiation of abstract tests on specific configurations for large critical control systems. (Softw. Test. Verification Reliab.)
Maria Ulan RISE Research Institutes of Sweden 2021: Weighted software metrics aggregation and its application to defect prediction. (Empir. Softw. 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 173 0.43 0.31 28.19 65.89
Jan Bosch Chalmers / Gothenburg University 348 0.15 0.27 15.27 61.28
Emilia Mendes Blekinge Institute of Technology 178 0.2 0.36 13.12 41.79
Per Runeson Lund University 142 0.32 0.19 9.07 37.0
Benoit Baudry KTH Royal Institute of Technology 197 0.18 0.11 7.01 29.25
Tony Gorschek Blekinge Institute of Technology 121 0.48 0.12 11.83 29.04
Robert Feldt Chalmers / Gothenburg University 130 0.29 0.13 5.62 26.73
Miroslaw Staron Chalmers / Gothenburg University 136 0.15 0.31 10.45 24.64
Darja Smite Blekinge Institute of Technology 78 0.26 0.45 9.78 23.6
Björn Regnell Lund University 87 0.36 0.18 6.36 23.49
Krzysztof Wnuk Blekinge Institute of Technology 98 0.22 0.29 7.46 23.45
Martin Monperrus KTH Royal Institute of Technology 97 0.31 0.13 7.27 20.57
Jürgen Börstler Blekinge Institute of Technology 77 0.23 0.35 5.09 20.0
Lars Lundberg Blekinge Institute of Technology 139 0.11 0.3 3.64 19.38
Martin Höst Lund University 91 0.21 0.21 7.12 19.11
Ivica Crnkovic Chalmers / Gothenburg University 149 0.1 0.28 5.54 18.96
Daniel Méndez Fernández Blekinge Institute of Technology 99 0.17 0.22 7.92 18.21
Mikael Svahnberg Blekinge Institute of Technology 33 0.48 0.58 10.77 16.81
Eric Knauss Chalmers / Gothenburg University 104 0.12 0.3 3.92 15.6
Markus Borg RISE Research Institutes of Sweden 70 0.17 0.41 5.38 14.78
Federico Ciccozzi Mälardalen University 73 0.15 0.4 6.22 13.83
Efi Papatheocharous RISE Research Institutes of Sweden 55 0.2 0.47 5.14 13.61
Patrizio Pelliccione Chalmers / Gothenburg University 142 0.13 0.06 4.93 13.29
Gregory Gay Chalmers / Gothenburg University 37 0.3 0.57 6.76 13.18
Richard Torkar Chalmers / Gothenburg University 67 0.37 0.1 3.82 13.05
Michael Unterkalmsteiner Blekinge Institute of Technology 40 0.33 0.28 6.07 12.46
Richard Berntsson-Svensson Chalmers / Gothenburg University 46 0.22 0.43 4.96 12.09
Helena Holmström Olsson Malmö University 116 0.08 0.24 3.77 11.93
Emelie Engström Lund University 34 0.32 0.38 5.83 11.48
Thorsten Berger Chalmers / Gothenburg University 100 0.1 0.16 4.6 11.43
Jennifer Horkoff Chalmers / Gothenburg University 103 0.08 0.38 6.25 11.18
Welf Löwe Linneaus Univerity 117 0.08 0.15 2.88 11.08
Nauman Bin Ali Blekinge Institute of Technology 24 0.46 0.46 6.63 11.04
Regina Hebig Chalmers / Gothenburg University 69 0.13 0.28 4.2 10.92
Wasif Afzal Mälardalen University 70 0.14 0.19 6.1 10.74
Björn Lundell Skövde University 75 0.11 0.35 3.27 10.69
Davide Fucci Blekinge Institute of Technology 47 0.19 0.34 4.88 10.47
Emil Alégroth Blekinge Institute of Technology 33 0.27 0.45 4.74 10.28
Philipp Leitner Chalmers / Gothenburg University 110 0.07 0.2 2.72 9.83
Panagiota Chatzipetrou Örebro University 23 0.39 0.48 3.74 9.57
Elizabeth Bjarnason Lund University 31 0.23 0.68 6.34 9.15
Mira Kajko-Mattsson KTH Royal Institute of Technology 105 0.06 0.72 6.09 9.07
Antonio Cicchetti Mälardalen University 85 0.08 0.31 3.28 9.03
Fabian Fagerholm Blekinge Institute of Technology 44 0.16 0.39 3.77 8.76
Mauro Caporuscio Linneaus Univerity 52 0.12 0.62 5.56 8.53
Pontus Johnson KTH Royal Institute of Technology 91 0.07 0.25 2.35 8.38
Birgit Penzenstadler Chalmers / Gothenburg University 115 0.05 0.4 2.59 8.12
Barbara Gallina Mälardalen University 85 0.07 0.33 2.29 8.07
Jan-Philipp Steghöfer Chalmers / Gothenburg University 70 0.09 0.24 2.14 7.96
Bestoun S. Ahmed Karlstad University 34 0.18 0.38 3.58 7.42
Jakob Axelsson RISE Research Institutes of Sweden 63 0.08 0.54 2.88 7.04
Robert Lagerström KTH Royal Institute of Technology 86 0.06 0.24 4.91 6.88
Peter Fritzson Linköping University 125 0.04 0.2 3.5 6.82
Muhammad Usman Blekinge Institute of Technology 16 0.38 0.5 4.3 6.61
Ulrik Franke RISE Research Institutes of Sweden 77 0.06 0.34 3.92 6.37
Hussan Munir Malmö University 15 0.33 0.6 4.2 5.82
Hannes Holm KTH Royal Institute of Technology 40 0.1 0.55 2.56 5.5
Jonas Lundberg Linneaus Univerity 67 0.06 0.28 1.93 5.45
Jonas Gamalielsson Skövde University 37 0.11 0.43 2.53 5.41
Thomas Olsson RISE Research Institutes of Sweden 45 0.09 0.36 2.61 5.4
Piotr Tomaszewski RISE Research Institutes of Sweden 14 0.29 0.86 4.1 5.21
Francis Palma Linneaus Univerity 22 0.18 0.64 1.48 5.21
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 27 0.15 0.44 2.43 5.19
Jelena Zdravkovic Stockholm University 92 0.04 0.23 2.18 5.08
Saad Mubeen Mälardalen University 77 0.04 0.51 2.84 4.45
Javier Gonzalez-Huerta Blekinge Institute of Technology 35 0.11 0.17 1.61 4.36
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
Imed Hammouda Chalmers / Gothenburg University 73 0.04 0.3 2.8 4.11
Mariam Kamkar Linköping University 28 0.11 0.36 2.35 4.01
Deepika Badampudi Blekinge Institute of Technology 12 0.25 0.83 2.19 3.91
Lars Pareto Chalmers / Gothenburg University 22 0.14 0.36 2.29 3.87
Cyrille Artho KTH Royal Institute of Technology 88 0.03 0.53 2.95 3.85
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
Binish Tanveer Blekinge Institute of Technology 9 0.33 0.78 2.16 3.68
Kristian Sandahl Linköping University 29 0.21 0.07 1.73 3.65
Michael Mattsson Blekinge Institute of Technology 14 0.21 0.5 1.31 3.64
Stig Larsson RISE Research Institutes of Sweden 40 0.07 0.15 1.57 3.41
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
Narges Khakpour Linneaus Univerity 24 0.08 0.62 1.32 2.71
Simon Butler Skövde University 13 0.15 0.92 2.11 2.7
Muhammad Ovais Ahmad Karlstad University 24 0.08 0.46 2.22 2.65
Christin Lindholm Lund University 8 0.25 0.75 2.06 2.57
Niklas Lavesson Blekinge Institute of Technology 59 0.03 0.2 1.67 2.47
Görel Hedin Lund University 81 0.02 0.25 1.89 2.34
Alessio Bucaioni Mälardalen University 27 0.04 0.81 1.26 1.58
Niklas Mellegård RISE Research Institutes of Sweden 14 0.07 0.64 1.13 1.39
Daniel Flemström Mälardalen University 9 0.11 0.78 1.08 1.39
Beatrice Alenljung Skövde University 10 0.1 0.6 1.09 1.38
Francesco Flammini Linneaus Univerity 47 0.02 0.36 1.46 1.37
Maria Ulan RISE Research Institutes of Sweden 5 0.2 1.0 1.04 1.36
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”.