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 2020

  • 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 19 98 Topic 1: requirements industrial project knowledge decision practice results; Topic 2: process distributed industry scheduling bayesian object gui; Topic 3: web effort performance models risk company design; Topic 4: development estimation test model global product projects; Topic 5: testing empirical quality systematic management improve scale
Chalmers / Gothenburg University 19 56 Topic 1: model component product design components object perspective; Topic 2: requirements quality analysis sustainability ecosystems lines goal; Topic 3: industrial management data measurement evolution process size; Topic 4: systems development test models variability architecture agile; Topic 5: modeling open embedded large support tool learning
Lund University 7 26 Topic 1: product regression model communication industrial experience assessment; Topic 2: requirements testing management risk systematic grammars processes; Topic 3: analysis distances selection academia methods effects timelines; Topic 4: test development attribute large line practices framework; Topic 5: open project language method programming support quality
RISE Research Institutes of Sweden 11 24 Topic 1: real modified fuzzy classification agile trees industry; Topic 2: cost architecture automotive embedded cyber traceability artificial; Topic 3: systems analysis time estimation industrial prediction reports; Topic 4: decision fault service model framework insurance cognitive; Topic 5: development enterprise models networks impact mapping making
KTH Royal Institute of Technology 7 19 Topic 1: test checking cm3 risk data web network; Topic 2: architecture enterprise process agile framework evaluating general; Topic 3: analysis corrective automatic modeling vulnerability probabilistic evolution; Topic 4: model problem theory java attacks business automated; Topic 5: maintenance management systems testing eliciting efficient validation
Mälardalen University 7 17 Topic 1: timing messages controller core rubus compliance lines; Topic 2: time distributed development end safety process modelling; Topic 3: model models mixed uml complex management implementation; Topic 4: analysis component response modeling real network applications; Topic 5: systems embedded vehicular industrial systematic area supporting
Linneaus Univerity 6 10 Topic 1: adaptive design architecture control time modeling context; Topic 2: middleware management programs applications machines modelling soa; Topic 3: detection service analysis formal decentralized restful multiformalism; Topic 4: systems antipatterns security specification pervasive critical event; Topic 5: self model patterns physical logp surveillance graphs
Skövde University 5 8 Topic 1: development tool implementation designing analysis test openness; Topic 2: systems perspective swedish decision companies biological long; Topic 3: source model action government practice projects project; Topic 4: method digital perceptions experience involvement organisations management; Topic 5: open standards theory experiences knowledge evolutionary gene
Linköping University 3 5 Topic 1: slicing object physical languages program; Topic 2: debugging modeling language equation openmodelica; Topic 3: dynamic environment interprocedural development distributed; Topic 4: modelica testing algorithmic incremental simulation
Karlstad University 2 5 Topic 1: systematic combinatorial agile aware; Topic 2: model automated strength mapping; Topic 3: applications swarm companies smart; Topic 4: testing kanban interaction development
Malmö University 2 4 Topic 1: embedded ecosystem; Topic 2: data ecosystem
Örebro University 1 3 Topic 1: analysis component statistical; Topic 2: data requirements goals; Topic 3: prioritization quality effort
Stockholm University 1 1 Topic 1: business capability processes frameworks; Topic 2: requirements service services process; Topic 3: modeling enterprise organizations workflow
Jönköping University 1 1 Topic 1: end spyware agreements; Topic 2: learning user agreements; Topic 3: license agreements user
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)
Michael Felderer Blekinge Institute of Technology 2013: Using defect taxonomies for requirements validation in industrial projects. (RE)
Mikael Svahnberg Blekinge Institute of Technology 2015: Uni-REPM: a framework for requirements engineering process assessment. (Requir. Eng.) 2013: Uni-REPM: validated and improved. (Requir. Eng.)
Daniel Méndez Fernández Blekinge Institute of Technology 2015: Artefact-based requirements engineering: the AMDiRE approach. (Requir. Eng.)
Eric Knauss Chalmers / Gothenburg University 2018: Continuous clarification and emergent requirements flows in open-commercial software ecosystems. (Requir. Eng.) 2018: T-Reqs: Tool Support for Managing Requirements in Large-Scale Agile System Development. (RE) 2015: Patterns of continuous requirements clarification. (Requir. Eng.) 2015: Research Preview: Supporting Requirements Feedback Flows in Iterative System Development. (REFSQ) 2014: Openness and requirements: Opportunities and tradeoffs in software ecosystems. (RE) 2014: EAM: Ecosystemability assessment method. (RE) 2014: (Semi-) automatic Categorization of Natural Language Requirements. (REFSQ) 2012: Detecting and classifying patterns of requirements clarifications. (RE) 2012: Supporting Learning Organisations in Writing Better Requirements Documents Based on Heuristic Critiques. (REFSQ) 2011: Supporting Requirements Engineers in Recognising Security Issues. (REFSQ) 2009: Learning to Write Better Requirements through Heuristic Critiques. (RE) 2008: Assessing the Quality of Software Requirements Specifications. (RE)
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 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)
Hannes Holm KTH Royal Institute of Technology 2015: Requirements engineering: The quest for the dependent variable. (RE)
Barbara Gallina Mälardalen University 2007: A Template for Requirement Elicitation of Dependable Product Lines. (REFSQ)
Jelena Zdravkovic Stockholm University 2015: Capturing consumer preferences as requirements for software product lines. (Requir. Eng.)
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 2020: Evaluating the Effects of Different Requirements Representations on Writing Test Cases. (REFSQ)
Thomas Olsson RISE Research Institutes of Sweden 2018: QREME – Quality Requirements Management Model for Supporting Decision-Making. (REFSQ)
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 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.)
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)
Francis Palma Linneaus Univerity 2014: Specification and Detection of SOA Antipatterns in Web Services. (ECSA)
Narges Khakpour Linneaus Univerity 2017: Control of Self-adaptation Under Partial Observation: A Modular Approach. (ECSA)
Alessio Bucaioni Mälardalen University 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)
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)
Michael Felderer Blekinge Institute of Technology 2016: Model-based security testing: a taxonomy and systematic classification. (Softw. Test. Verification Reliab.)
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 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)
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)
Cyrille Artho KTH Royal Institute of Technology 2017: Model-Based API Testing of Apache ZooKeeper. (ICST) 2003: High-level data races. (Softw. Test. Verification Reliab.)
Francesco Flammini Linneaus Univerity 2009: Automatic instantiation of abstract tests on specific configurations for large critical control systems. (Softw. Test. Verification Reliab.)
Daniel Flemström Mälardalen University 2017: SAGA Toolbox: Interactive Testing of Guarded Assertions. (ICST)
SWEBOK Knowledge Area – Software Maintenance
Scholar Affiliation Maintenance titles
Jan Bosch Chalmers / Gothenburg University 2001: Assessing Optimal Software Architecture Maintainability. (CSMR)
Per Runeson Lund University 2003: Test processes in software product evolution – a qualitative survey on the state of practice. (J. Softw. Maintenance Res. Pract.)
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.)
Benoit Baudry KTH Royal Institute of Technology 2014: DIVERSIFY: Ecology-inspired software evolution for diversity emergence. (CSMR-WCRE)
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)
Ulrik Franke RISE Research Institutes of Sweden 2009: A Method for Choosing Software Assessment Measures Using Bayesian Networks and Diagnosis. (CSMR)
Robert Lagerström KTH Royal Institute of Technology 2008: Using Architectural Models to Predict the Maintainability of Enterprise Systems. (CSMR)
Piotr Tomaszewski RISE Research Institutes of Sweden 2006: A Method for an Accurate Early Prediction of Faults in Modified Classes. (ICSM)
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)
Francis Palma Linneaus Univerity 2014: Specification and Detection of SOA Antipatterns. (ICSME)
Ana Magazinius RISE Research Institutes of Sweden 2010: Software cost estimation inhibitors – a case study in automotive context. (J. Softw. Maintenance Res. Pract.)
Michael Mattsson Blekinge Institute of Technology 2000: Stability assessment of evolving industrial object-oriented frameworks. (J. Softw. Maintenance Res. Pract.) 1999: Experience Paper: Observations on the Evolution of an Industrial OO Framework. (ICSM) 1999: Experience Paper: Effort Distribution in a Six-Year Industrial Application Framework Project. (ICSM)
SWEBOK Knowledge Area – Software Configuration Management
Scholar Affiliation CM titles
Jan Bosch Chalmers / Gothenburg University 2014: ESAO: towards data- and ecosystem-driven R&D. (SPLC) 2011: Software Ecosystems – Implications for Strategy, Business Model and Architecture. (SPLC) 2011: Achieving Speed in Legacy Systems. (SPLC) 2009: From software product lines to software ecosystems. (SPLC) 2005: Software Product Families in Nokia. (SPLC) 2004: On the Development of Software Product-Family Components. (SPLC) 2004: Architecture-Centric Software Engineering. (SPLC) 2004: Software Variability Management. (SPLC) 2002: Maturity and Evolution in Software Product Lines: Approaches, Artefacts and Organization. (SPLC)
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)
Kenneth Lind Chalmers / Gothenburg University 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)
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.)
Michael Felderer Blekinge Institute of Technology 2017: Hybrid Software and System Development in Practice: Initial Results from Austria. (PROFES) 2016: Exploring Expectations About Risk-Based Testing: Towards Increasing Effectiveness and Efficiency. (PROFES) 2014: On the Role of System Testing for Release Planning: Industrial Experiences from Comparing Two Products. (PROFES)
Darja Smite Blekinge Institute of Technology 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)
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)
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)
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)
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.)
Emelie Engström Lund University 2010: A Qualitative Survey of Regression Testing Practices. (PROFES)
Michael Unterkalmsteiner Blekinge Institute of Technology 2014: A conceptual framework for SPI evaluation. (J. Softw. Evol. Process.)
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)
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)
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.)
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)
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)
Görel Hedin Lund University 2003: Coaching Coaches. (XP)
Muhammad Ovais Ahmad Karlstad University 2017: An empirical study of portfolio management and Kanban in agile and lean software companies. (J. Softw. Evol. Process.) 2016: Insights into the Perceived Benefits of Kanban in Software Companies: Practitioners’ Views. (XP) 2016: Pitfalls of Kanban in Brownfield and Greenfield Software Development Projects. (XP)
Christin Lindholm Lund University 2015: Involving user perspective in a software risk management process. (J. Softw. Evol. Process.)
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.)
Regina Hebig Chalmers / Gothenburg University 2017: On the complex nature of MDE evolution and its impact on changeability. (Softw. Syst. Model.) 2016: The quest for open source projects that use UML: mining GitHub. (MoDELS) 2013: On the Complex Nature of MDE Evolution. (MoDELS)
Jennifer Horkoff Chalmers / Gothenburg University 2018: Experiences Applying \hbox e^3 Value Modeling in a Cross-Company Study. (ER) 2014: Strategic business modeling: representation and reasoning. (Softw. Syst. Model.) 2014: Evaluating Modeling Languages: An Example from the Requirements Domain. (ER) 2010: Finding Solutions in Goal Models: An Interactive Backward Reasoning Approach. (ER)
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)
Thorsten Berger Chalmers / Gothenburg University 2014: Three Cases of Feature-Based Variability Modeling in Industry. (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.)
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 Chalmers / Gothenburg University 2011: A Model-Based and Automated Approach to Size Estimation of Embedded Software Components. (MoDELS)
Javier Gonzalez-Huerta Blekinge Institute of Technology 2013: Defining and Validating a Multimodel Approach for Product Architecture Derivation and Improvement. (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)
Michael Felderer Blekinge Institute of Technology 2019: Comprehensibility of system models during test design: a controlled experiment comparing UML activity diagrams and state machines. (Softw. Qual. J.) 2016: Risk orientation in software testing processes of small and medium enterprises: an exploratory and comparative study. (Softw. Qual. J.) 2014: Integrating risk-based testing in industrial test processes. (Softw. Qual. J.)
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.)
Richard Torkar Chalmers / Gothenburg University 2003: An Exploratory Study of Component Reliability Using Unit Testing. (ISSRE)
Federico Ciccozzi Mälardalen University 2018: Architecture optimization: speed or accuracy? both! (Softw. Qual. J.)
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.)
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)
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.)
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.)
Barbara Gallina Mälardalen University 2007: Coordinated Atomic Actions for Dependable Distributed Systems: the Current State in Concepts, Semantics and Verification Means. (ISSRE)
Gul Calikli Chalmers / Gothenburg University 2015: Empirical analysis of factors affecting confirmation bias levels of software engineers. (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)
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)
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)
SWEBOK Knowledge Area – Software Engineering Professional Practice
Scholar Affiliation 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.)
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.)
Benoit Baudry KTH Royal Institute of Technology 2005: Automatic Test Case Optimization: A Bacteriologic Algorithm. (IEEE Softw.)
Miroslaw Staron Chalmers / Gothenburg University 2018: Industrial experiences from evolving measurement systems into self-healing systems for improved availability. (Softw. Pract. Exp.)
Björn Regnell Lund University 2008: Supporting Roadmapping of Quality Requirements. (IEEE Softw.)
Michael Felderer Blekinge Institute of Technology 2015: Using Defect Taxonomies for Testing Requirements. (IEEE Softw.)
Darja Smite Blekinge Institute of Technology 2020: The Offshoring Elephant in the Room: Turnover. (IEEE Softw.) 2019: Spotify Guilds: How to Succeed With Knowledge Sharing in Large-Scale Agile Organizations. (IEEE Softw.) 2016: What’s the True Hourly Cost of Offshoring? (IEEE Softw.) 2015: Cost Savings in Global Software Engineering: Where’s the Evidence? (IEEE Softw.) 2014: Virtual Teams [Guest editors’ introduction]. (IEEE Softw.) 2011: A Whisper of Evidence in Global Software Engineering. (IEEE Softw.) 2011: Strategies Facilitating Software Product Transfers. (IEEE Softw.)
Jürgen Börstler Blekinge Institute of Technology 2002: Teaching the PSP: Challenges and Lessons Learned. (IEEE Softw.)
Ivica Crnkovic Chalmers / Gothenburg University 2011: Software Components beyond Programming: From Routines to Services. (IEEE Softw.)
Lars Lundberg Blekinge Institute of Technology 1989: A Parallel Ada System on an Experimental Multiprocessor. (Softw. Pract. Exp.)
Mikael Svahnberg Blekinge Institute of Technology 2005: A taxonomy of variability realization techniques. (Softw. Pract. Exp.)
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.)
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.)
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.)
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.)
Emil Alégroth Blekinge Institute of Technology 2017: Replicating Rare Software Failures with Exploratory Visual GUI Testing. (IEEE Softw.)
Pontus Johnson KTH Royal Institute of Technology 2012: Where’s the Theory for Software Engineering? (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)
Krzysztof Wnuk Blekinge Institute of Technology 2016: The Impact of Internet of Things on Software Business Models. (ICSOB) 2014: Evaluating the Governance Model of Hardware-Dependent Software Ecosystems – A Case Study of the Axis Ecosystem. (ICSOB) 2013: Engineering Open Innovation – Towards a Framework for Fostering Open Innovation. (ICSOB) 2012: Controlling Lost Opportunity Costs in Agile Development – The Basic Lost Opportunity Estimation Model for Requirements Scoping. (ICSOB) 2011: Requirements Scoping Visualization for Project Management. (ICSOB)
Darja Smite Blekinge Institute of Technology 2019: Offshore outsourcing costs: known or still hidden? (ICGSE) 2017: Calculating the Extra Costs and the Bottom-Line Hourly Cost of Offshoring. (ICGSE) 2010: Software Product Transfers: Lessons Learned from a Case Study. (ICGSE) 2010: What Happens, When Software Product Development Companies Go Global? (ICGSE) 2008: Reporting Empirical Research in Global Software Engineering: A Classification Scheme. (ICGSE) 2007: Project Outcome Predictions: Risk Barometer Based on Historical Data. (ICGSE)
Efi Papatheocharous RISE Research Institutes of Sweden 2015: Ecosystems and Open Innovation for Embedded Systems: A Systematic Mapping Study. (ICSOB)
Federico Ciccozzi Mälardalen University 2010: Performing a Project in a Distributed Software Development Course: Lessons Learned. (ICGSE)
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 research interests: Click on a header to sort by the corresponding column.
Scholar Affiliation Apparent research interests
Claes Wohlin Blekinge Institute of Technology empirical, project, success, factors, journals, systematic, literature, methods, analysis, reliability
Jan Bosch Chalmers / Gothenburg University product, architecture, lines, ecosystems, object, development, variability, families, design, component
Emilia Mendes Blekinge Institute of Technology web, effort, estimation, company, applications, cost, hypermedia, value, improve, development
Per Runeson Lund University testing, test, collaboration, inspection, unit, detection, product, industry, academia, open
Tony Gorschek Blekinge Institute of Technology requirements, empirical, product, model, management, process, transfer, practice, abstraction, development
Benoit Baudry KTH Royal Institute of Technology test, model, design, testability, validation, genetic, optimization, testing, automatic, diagram
Robert Feldt Chalmers / Gothenburg University test, search, diverse, genetic, programming, versions, empirical, generating, testing, diversity
Miroslaw Staron Chalmers / Gothenburg University measurement, industrial, development, systems, large, projects, measures, defect, code, model
Björn Regnell Lund University requirements, quality, model, org, domain, testing, product, mobile, reqt, scenario
Krzysztof Wnuk Blekinge Institute of Technology requirements, management, decision, large, scoping, industrial, scale, open, innovation, visualization
Michael Felderer Blekinge Institute of Technology testing, risk, security, test, industrial, defect, system, requirements, systems, taxonomies
Martin Monperrus KTH Royal Institute of Technology model, measurement, automated, system, repair, automatic, calls, generative, missing, method
Darja Smite Blekinge Institute of Technology global, development, learned, lessons, offshoring, agile, distributed, evidence, project, empirical
Jürgen Börstler Blekinge Institute of Technology teaching, object, role, play, learning, tools, example, programs, programmieren, quality
Martin Höst Lund University product, source, development, processes, project, management, commercial, open, requirements, subjects
Ivica Crnkovic Chalmers / Gothenburg University component, systems, development, scm, components, process, embedded, prediction, icse, management
Lars Lundberg Blekinge Institute of Technology performance, multiprocessor, scheduling, time, distributed, high, optimal, programs, bounding, parallel
Mikael Svahnberg Blekinge Institute of Technology quality, architecture, requirements, product, architectures, attributes, method, building, assessing, repm
Daniel Méndez Fernández Blekinge Institute of Technology requirements, artefact, naming, pain, practice, results, germany, artefacts, improvement, first
Eric Knauss Chalmers / Gothenburg University requirements, continuous, supporting, agile, anforderungen, heuristic, quality, ecosystems, system, development
Markus Borg RISE Research Institutes of Sweden traceability, impact, reports, analysis, information, time, bug, tools, issue, change
Efi Papatheocharous RISE Research Institutes of Sweden cost, estimation, decision, artificial, neural, fuzzy, networks, development, agile, cognitive
Patrizio Pelliccione Chalmers / Gothenburg University systems, cars, framework, specifications, architectural, assembly, verifying, tutorials, test, component
Richard Torkar Chalmers / Gothenburg University testing, source, adopting, purpose, reliability, test, serps, partition, eight, patterns
Federico Ciccozzi Mälardalen University systems, model, uml, embedded, models, code, generation, execution, modelling, round
Gregory Gay Chalmers / Gothenburg University test, generation, search, real, coverage, model, fitness, program, automated, steering
Emelie Engström Lund University test, regression, testing, line, product, selection, systematic, empirical, supporting, techniques
Michael Unterkalmsteiner Blekinge Institute of Technology requirements, 2016, test, improvement, alignment, testing, ret, process, framework, information
Wasif Afzal Mälardalen University runtime, systematic, testing, fault, ecsel, framework, systems, test, programming, project
Richard Berntsson-Svensson Chalmers / Gothenburg University requirements, quality, quper, practice, industrial, techniques, model, companies, creativity, making
Helena Holmström Olsson Malmö University ecosystem, embedded, data, development, empowerment, systems, mind, going, chaos, model
Nauman Bin Ali Blekinge Institute of Technology systematic, literature, simulation, industrial, process, search, mapping, assisted, reviews, development
Regina Hebig Chalmers / Gothenburg University model, evolution, development, mde, processes, languages, impact, setting, coding, combined
Jennifer Horkoff Chalmers / Gothenburg University goal, modeling, requirements, analysis, interactive, models, model, systematic, agent, enterprise
Björn Lundell Skövde University open, source, tool, standards, perceptions, swedish, method, systems, openness, companies
Antonio Cicchetti Mälardalen University model, evolution, web, systems, applications, development, managing, view, models, weaving
Elizabeth Bjarnason Lund University requirements, distances, development, evidence, test, timelines, project, 2015, practices, communication
Mira Kajko-Mattsson KTH Royal Institute of Technology maintenance, model, management, process, problem, corrective, cm3, agile, maturity, eliciting
Davide Fucci Blekinge Institute of Technology test, development, replication, effects, impact, requirements, skills, sleep, first, external
Fabian Fagerholm Blekinge Institute of Technology education, agile, projects, continuous, experience, source, performance, developers, patterns, lean
Welf Löwe Linneaus Univerity logp, programs, optimization, machines, scheduling, task, graphs, machine, pram, communication
Mauro Caporuscio Linneaus Univerity service, middleware, applications, pervasive, assembly, systems, decentralized, time, networking, run
Thorsten Berger Chalmers / Gothenburg University variability, modeling, feature, management, systems, connect, und, efficiency, product, domain
Panagiota Chatzipetrou Örebro University analysis, framework, requirements, component, statistical, data, distribution, goals, compositional, quality
Birgit Penzenstadler Chalmers / Gothenburg University sustainability, requirements, systems, design, model, domain, automotive, system, systematic, green
Emil Alégroth Blekinge Institute of Technology testing, gui, visual, industrial, test, practice, empirical, suites, debt, automated
Pontus Johnson KTH Royal Institute of Technology architecture, theory, analysis, modeling, enterprise, probabilistic, general, business, diagrams, attack
Jakob Axelsson RISE Research Institutes of Sweden systems, system, time, real, embedded, automotive, analysis, architecting, architectural, hardware
Bestoun S. Ahmed Karlstad University testing, interaction, combinatorial, model, automated, swarm, applications, particle, generation, framework
Ulrik Franke RISE Research Institutes of Sweden enterprise, architecture, insurance, cyber, service, analysis, framework, availability, trade, bayesian
Peter Fritzson Linköping University modelica, modeling, object, language, debugging, environment, equation, physical, incremental, system
Jan-Philipp Steghöfer Chalmers / Gothenburg University systems, self, agile, organising, open, computing, organic, die, scrum, management
Robert Lagerström KTH Royal Institute of Technology architecture, enterprise, systems, analysis, modifiability, cost, maintainability, management, modeling, measuring
Hannes Holm KTH Royal Institute of Technology attacks, vulnerability, system, expert, empirical, security, investigation, application, scanning, web
Barbara Gallina Mälardalen University safety, process, reuse, compliance, model, lines, enabling, systems, compliant, 26262
Piotr Tomaszewski RISE Research Institutes of Sweden modified, code, fault, industrial, time, productivity, development, prediction, new, detection
Jelena Zdravkovic Stockholm University business, capability, requirements, service, modeling, processes, organizations, frameworks, services, process
Patrik Berander Malmö University requirements, cumulative, voting, hierarchical, prioritization, hierarchies, factors, calculating, measurement, subjects
Jonas Lundberg Linneaus Univerity analysis, response, design, resilience, points, conceptual, work, management, cognitive, identification
Ludwik Kuzniarz Blekinge Institute of Technology uml, models, model, teaching, development, multimedia, initial, object, empirical, domain
Imed Hammouda Chalmers / Gothenburg University open, source, patterns, design, concern, pattern, development, sustainable, systems, tool
Saad Mubeen Mälardalen University analysis, time, systems, end, embedded, response, component, timing, distributed, mixed
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University test, testing, support, requirements, empirical, diversity, people, regresso, optimisation, simple
Mariam Kamkar Linköping University slicing, dynamic, interprocedural, programs, program, debugging, algorithmic, applied, testing, analysis
Gul Calikli Chalmers / Gothenburg University confirmation, bias, effects, analysis, factors, aspects, experience, empirical, defect, modeling
Lars Pareto Chalmers / Gothenburg University architectural, development, projects, concerns, station, design, empirical, base, model, concern
Francis Palma Linneaus Univerity antipatterns, detection, patterns, specification, soa, linguistic, restful, test, service, apis
Jonas Gamalielsson Skövde University open, source, standards, biological, editorship, sustainability, involvement, w3c, digital, alignment
Thomas Olsson RISE Research Institutes of Sweden making, requirements, quality, companies, language, time, system, gqm, reconfigurable, decision
Kenneth Lind Chalmers / Gothenburg University size, estimation, components, embedded, time, code, automated, real, model, compsize
Deepika Badampudi Blekinge Institute of Technology systematic, knowledge, translation, making, literature, decision, delays, mapping, contextualizing, agile
Birgitta Lindström Skövde University time, test, mutation, mutants, subsuming, models, strong, systems, testability, aspect
Javier Gonzalez-Huerta Blekinge Institute of Technology derivation, architecture, product, models, multimodel, improvement, validating, model, development, opportunities
Ana Magazinius RISE Research Institutes of Sweden estimation, cost, human, complexity, feature, aspects, confirming, distortional, organizational, practice
Kristian Sandahl Linköping University participation, replication, systems, assessing, active, methods, expert, developing, inspections, requirements
Pasqualina Potena RISE Research Institutes of Sweden tradeoff, composition, attributes, optimization, architecture, systems, quality, service, directions, functional
Görel Hedin Lund University attribute, grammars, programming, jastadd, object, preface, extreme, door, incremental, teaching
Niklas Lavesson Jönköping University learning, license, agreements, end, user, spyware, inducer, classifying, application, detect
Narges Khakpour Linneaus Univerity systems, self, adaptive, formal, behavioral, structural, security, adaptation, verification, adaptations
Jeremy Rose Skövde University systems, theory, model, government, development, information, structuration, management, designing, action
Muhammad Ovais Ahmad Karlstad University kanban, development, agile, companies, systematic, factory, practitioners, transition, lessons, perceptions
Cyrille Artho KTH Royal Institute of Technology model, checking, testing, java, analysis, networked, test, static, systems, efficient
Michael Mattsson Blekinge Institute of Technology framework, industrial, causes, solutions, stability, experience, frameworks, evolving, paper, application
Christin Lindholm Lund University risk, development, medical, analysis, device, process, management, differences, physicians, identification
Alessio Bucaioni Mälardalen University systems, model, vehicular, timing, core, component, adl, automotive, level, east
Niklas Mellegård RISE Research Institutes of Sweden defect, automotive, initial, impact, light, efficiency, weight, development, industrial, classification
Beatrice Alenljung Skövde University requirements, decision, experience, human, perspective, user, development, interaction, prehospital, robot
Francesco Flammini Linneaus Univerity systems, critical, modelling, surveillance, security, multiformalism, infrastructures, event, physical, detection
Daniel Flemström Mälardalen University test, assertions, passive, guarded, interactive, development, reuse, integration, systems, language
Peter Wallin RISE Research Institutes of Sweden development, related, system, issues, mitigation, product, automotive, line, vehicles, architecture
Stefan Cedergren RISE Research Institutes of Sweden development, products, performance, evaluating
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 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.)
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.)
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.)
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.)
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.)
Michael Felderer Blekinge Institute of Technology 2019: Comprehensibility of system models during test design: a controlled experiment comparing UML activity diagrams and state machines. (Softw. Qual. J.) 2016: Risk orientation in software testing processes of small and medium enterprises: an exploratory and comparative study. (Softw. Qual. J.) 2016: Model-based security testing: a taxonomy and systematic classification. (Softw. Test. Verification Reliab.) 2015: Manual test case derivation from UML activity diagrams and state machines: A controlled experiment. (Inf. Softw. Technol.) 2014: Integrating risk-based testing in industrial test processes. (Softw. Qual. J.)
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.)
Darja Smite Blekinge Institute of Technology 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.)
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.)
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.)
Lars Lundberg Blekinge Institute of Technology 1989: A Parallel Ada System on an Experimental Multiprocessor. (Softw. Pract. Exp.)
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.)
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.)
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.)
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.)
Richard Torkar Chalmers / Gothenburg University 2012: Requirements Traceability: a Systematic Review and Industry Case Study. (Int. J. Softw. Eng. Knowl. 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.)
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.)
Emelie Engström Lund University 2020: How software engineering research aligns with design science: a review. (Empir. Softw. Eng.) 2017: SERP-test: a taxonomy for supporting industry-academia communication. (Softw. Qual. J.) 2013: Test overlay in an emerging software product line – An industrial case study. (Inf. Softw. Technol.) 2011: Software product line testing – A systematic mapping study. (Inf. Softw. Technol.) 2010: A systematic review on regression test selection techniques. (Inf. Softw. Technol.)
Michael Unterkalmsteiner Blekinge Institute of Technology 2016: Large-scale information retrieval in software engineering – an experience report from industrial application. (Empir. Softw. Eng.) 2015: Assessing requirements engineering and software test alignment – Five case studies. (J. Syst. Softw.) 2014: A conceptual framework for SPI evaluation. (J. Softw. Evol. Process.) 2014: A taxonomy for requirements engineering and software test alignment. (ACM Trans. Softw. Eng. Methodol.) 2012: Evaluation and Measurement of Software Process Improvement – A Systematic Literature Review. (IEEE Trans. Software Eng.)
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.)
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.)
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.)
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.)
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.)
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.)
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.)
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.)
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.)
Welf Löwe Linneaus Univerity 2005: Rapid Construction of Software Comprehension Tools. (Int. J. Softw. Eng. Knowl. Eng.)
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.)
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.)
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.)
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.)
Emil Alégroth Blekinge Institute of Technology 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.)
Pontus Johnson KTH Royal Institute of Technology 2016: The Tarpit – A general theory of software engineering. (Inf. Softw. Technol.)
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.)
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.)
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.)
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.)
Jan-Philipp Steghöfer Chalmers / Gothenburg University 2017: No silver brick: Opportunities and limitations of teaching Scrum with Lego workshops. (J. Syst. Softw.)
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.)
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.)
Barbara Gallina Mälardalen University 2020: Quantitative evaluation of tailoring within SPICE-compliant security-informed safety-oriented process lines. (J. Softw. Evol. Process.)
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.)
Jelena Zdravkovic Stockholm University 2015: Capturing consumer preferences as requirements for software product lines. (Requir. Eng.)
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.)
Jonas Lundberg Linneaus Univerity 2009: Fast and precise points-to analysis. (Inf. Softw. Technol.)
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.)
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.)
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.)
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.)
Gul Calikli Chalmers / Gothenburg University 2015: Empirical analysis of factors affecting confirmation bias levels of software engineers. (Softw. Qual. J.)
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.)
Francis Palma Linneaus Univerity 2019: UniDoSA: The Unified Specification and Detection of Service Antipatterns. (IEEE Trans. Software Eng.)
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 2019: An empirical study on decision making for quality requirements. (J. Syst. Softw.)
Kenneth Lind Chalmers / Gothenburg University 2012: A Practical Approach to Size Estimation of Embedded Software Components. (IEEE Trans. Software Eng.)
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.)
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.)
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.)
Ana Magazinius RISE Research Institutes of Sweden 2012: Investigating intentional distortions in software cost estimation – An exploratory study. (J. Syst. Softw.) 2010: Software cost estimation inhibitors – a case study in automotive context. (J. Softw. Maintenance Res. Pract.)
Kristian Sandahl Linköping University 1998: An Extended Replication of an Experiment for Assessing Methods for Software Requirements Inspections. (Empir. Softw. Eng.)
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.)
Görel Hedin Lund University 2005: Teaching extreme programming to large groups of students. (J. Syst. Softw.)
Niklas Lavesson Jönköping University 2014: A method for evaluation of learning components. (Autom. Softw. Eng.)
Narges Khakpour Linneaus Univerity 2012: HPobSAM for modeling and analyzing IT Ecosystems – Through a case study. (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.)
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.)
Cyrille Artho KTH Royal Institute of Technology 2003: High-level data races. (Softw. Test. Verification Reliab.)
Michael Mattsson Blekinge Institute of Technology 2000: Stability assessment of evolving industrial object-oriented frameworks. (J. Softw. Maintenance Res. Pract.)
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.)
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.)
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.)
Daniel Flemström Mälardalen University 2018: Similarity-based prioritization of test case automation. (Softw. Qual. J.)
Peter Wallin RISE Research Institutes of Sweden 2012: Problems and their mitigation in system and software architecting. (Inf. Softw. Technol.)
Stefan Cedergren RISE Research Institutes of Sweden 2014: Evaluating performance in the development of software-intensive products. (Inf. Softw. Technol.)
Bibliometrics for Swe-SE-SCI scholars: Click on a header to sort by the corresponding column.
Scholar Affiliation #Publ. SCI ratio 1st ratio SSS contrib. SSS rating
Claes Wohlin Blekinge Institute of Technology 178 0.4 0.31 26.26 64.92
Jan Bosch Chalmers / Gothenburg University 338 0.14 0.3 14.99 57.55
Emilia Mendes Blekinge Institute of Technology 179 0.18 0.39 12.77 39.27
Per Runeson Lund University 144 0.3 0.21 8.91 37.8
Tony Gorschek Blekinge Institute of Technology 117 0.47 0.14 11.52 30.79
Benoit Baudry KTH Royal Institute of Technology 193 0.18 0.11 6.88 28.66
Robert Feldt Chalmers / Gothenburg University 125 0.28 0.14 5.3 26.25
Miroslaw Staron Chalmers / Gothenburg University 131 0.15 0.35 10.22 24.27
Björn Regnell Lund University 90 0.34 0.18 6.39 23.61
Krzysztof Wnuk Blekinge Institute of Technology 94 0.22 0.3 7.33 22.7
Michael Felderer Blekinge Institute of Technology 174 0.1 0.29 7.77 22.26
Martin Monperrus KTH Royal Institute of Technology 92 0.27 0.17 6.77 20.77
Darja Smite Blekinge Institute of Technology 73 0.23 0.49 8.56 20.4
Jürgen Börstler Blekinge Institute of Technology 77 0.22 0.36 5.0 19.46
Martin Höst Lund University 94 0.19 0.21 7.06 18.45
Ivica Crnkovic Chalmers / Gothenburg University 151 0.09 0.3 5.47 17.73
Lars Lundberg Blekinge Institute of Technology 138 0.1 0.29 3.54 17.66
Mikael Svahnberg Blekinge Institute of Technology 33 0.48 0.58 10.77 16.81
Daniel Méndez Fernández Blekinge Institute of Technology 80 0.17 0.28 7.46 15.65
Eric Knauss Chalmers / Gothenburg University 100 0.11 0.31 3.79 14.01
Markus Borg RISE Research Institutes of Sweden 67 0.16 0.43 5.26 13.56
Efi Papatheocharous RISE Research Institutes of Sweden 54 0.2 0.48 5.13 13.41
Patrizio Pelliccione Chalmers / Gothenburg University 139 0.13 0.06 4.81 13.01
Richard Torkar Chalmers / Gothenburg University 64 0.34 0.11 3.52 12.82
Federico Ciccozzi Mälardalen University 69 0.14 0.43 6.09 12.46
Gregory Gay Chalmers / Gothenburg University 38 0.26 0.55 6.68 11.99
Emelie Engström Lund University 32 0.34 0.41 5.81 11.54
Michael Unterkalmsteiner Blekinge Institute of Technology 36 0.31 0.31 5.85 11.16
Wasif Afzal Mälardalen University 64 0.16 0.2 6.04 10.97
Richard Berntsson-Svensson Chalmers / Gothenburg University 44 0.2 0.45 4.85 10.8
Helena Holmström Olsson Malmö University 100 0.08 0.31 3.52 10.63
Nauman Bin Ali Blekinge Institute of Technology 21 0.48 0.48 6.51 10.08
Regina Hebig Chalmers / Gothenburg University 66 0.12 0.3 4.08 9.9
Jennifer Horkoff Chalmers / Gothenburg University 99 0.07 0.39 6.12 9.54
Björn Lundell Skövde University 73 0.1 0.32 3.16 9.47
Antonio Cicchetti Mälardalen University 79 0.09 0.33 3.22 9.39
Elizabeth Bjarnason Lund University 34 0.21 0.65 6.37 9.22
Mira Kajko-Mattsson KTH Royal Institute of Technology 105 0.06 0.72 6.09 9.07
Davide Fucci Blekinge Institute of Technology 42 0.17 0.38 4.65 8.75
Fabian Fagerholm Blekinge Institute of Technology 41 0.17 0.39 3.74 8.58
Welf Löwe Linneaus Univerity 113 0.06 0.16 2.66 8.56
Mauro Caporuscio Linneaus Univerity 51 0.12 0.65 5.55 8.4
Thorsten Berger Chalmers / Gothenburg University 79 0.08 0.22 4.03 8.02
Panagiota Chatzipetrou Örebro University 20 0.35 0.55 3.53 7.97
Birgit Penzenstadler Chalmers / Gothenburg University 108 0.05 0.42 2.43 7.64
Emil Alégroth Blekinge Institute of Technology 29 0.21 0.48 3.53 7.5
Pontus Johnson KTH Royal Institute of Technology 93 0.06 0.26 2.37 7.5
Jakob Axelsson RISE Research Institutes of Sweden 66 0.08 0.58 2.91 7.41
Bestoun S. Ahmed Karlstad University 29 0.21 0.41 3.53 7.27
Ulrik Franke RISE Research Institutes of Sweden 73 0.07 0.37 3.88 7.0
Peter Fritzson Linköping University 124 0.04 0.19 3.49 6.73
Jan-Philipp Steghöfer Chalmers / Gothenburg University 72 0.07 0.28 2.07 6.72
Robert Lagerström KTH Royal Institute of Technology 79 0.06 0.27 4.84 6.4
Hannes Holm KTH Royal Institute of Technology 40 0.1 0.55 2.56 5.5
Barbara Gallina Mälardalen University 78 0.05 0.35 2.04 5.46
Piotr Tomaszewski RISE Research Institutes of Sweden 13 0.31 0.92 4.09 5.17
Jelena Zdravkovic Stockholm University 90 0.04 0.27 2.16 5.03
Patrik Berander Malmö University 7 0.57 0.71 2.23 4.27
Jonas Lundberg Linneaus Univerity 62 0.05 0.27 1.79 4.26
Ludwik Kuzniarz Blekinge Institute of Technology 28 0.11 0.54 1.45 4.19
Imed Hammouda Chalmers / Gothenburg University 73 0.04 0.32 2.8 4.12
Saad Mubeen Mälardalen University 71 0.04 0.56 2.78 4.11
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 22 0.14 0.5 2.29 4.05
Mariam Kamkar Linköping University 28 0.11 0.39 2.35 4.05
Gul Calikli Chalmers / Gothenburg University 26 0.12 0.38 1.43 4.04
Lars Pareto Chalmers / Gothenburg University 26 0.12 0.35 2.33 4.0
Francis Palma Linneaus Univerity 21 0.14 0.67 1.38 3.99
Jonas Gamalielsson Skövde University 32 0.09 0.5 2.39 3.96
Thomas Olsson RISE Research Institutes of Sweden 41 0.07 0.34 1.58 3.9
Kenneth Lind Chalmers / Gothenburg University 13 0.23 0.69 1.3 3.84
Deepika Badampudi Blekinge Institute of Technology 11 0.27 0.82 2.18 3.83
Birgitta Lindström Skövde University 21 0.14 0.43 2.28 3.79
Javier Gonzalez-Huerta Blekinge Institute of Technology 35 0.09 0.17 1.52 3.74
Ana Magazinius RISE Research Institutes of Sweden 9 0.33 0.67 2.16 3.57
Kristian Sandahl Linköping University 28 0.21 0.07 1.72 3.53
Pasqualina Potena RISE Research Institutes of Sweden 33 0.09 0.15 1.5 3.43
Görel Hedin Lund University 78 0.03 0.27 1.86 3.33
Niklas Lavesson Jönköping University 55 0.04 0.24 1.63 3.05
Narges Khakpour Linneaus Univerity 21 0.1 0.71 1.29 2.94
Jeremy Rose Skövde University 50 0.04 0.56 1.58 2.9
Muhammad Ovais Ahmad Karlstad University 17 0.12 0.53 2.15 2.75
Cyrille Artho KTH Royal Institute of Technology 90 0.02 0.53 1.98 2.65
Michael Mattsson Blekinge Institute of Technology 14 0.14 0.5 1.22 2.58
Christin Lindholm Lund University 8 0.25 0.75 2.06 2.57
Alessio Bucaioni Mälardalen University 21 0.05 0.81 1.2 1.53
Niklas Mellegård RISE Research Institutes of Sweden 13 0.08 0.69 1.12 1.47
Beatrice Alenljung Skövde University 10 0.1 0.6 1.09 1.38
Francesco Flammini Linneaus Univerity 46 0.02 0.43 1.45 1.35
Daniel Flemström Mälardalen University 8 0.12 0.75 1.07 1.33
Peter Wallin RISE Research Institutes of Sweden 11 0.09 0.27 1.1 1.27
Stefan Cedergren RISE Research Institutes of Sweden 4 0.25 0.25 1.03 1.0

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”.