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 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.

Affiliations are ranked by the number of first-authored SCI publications by SSS scholars. Individual SSS scholars are ranked 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.

March 2020 – Swe-SE-SCI

The Swe-SE-SCI index shows that the top-5 SE research organizations are BTH, Chalmers/Gothenburg, Lund University, RISE, and KTH.

Looking at individual SSS scholars, familiar full professors top the list. We also find some new names in Sweden (Felderer and Baudry) as well as some emerging top scholars.

March update: Emilia Mendes moves to position 3 thanks to a first-authored SCI paper on value estimation using Bayesian networks.

Swe-SE-SCI affiliations and apparent research topics
Affiliation #SSS scholars #SCI publications Research topics
Blekinge Institute of Technology 18 94 Topic 1: development estimation models knowledge teaching global defect; Topic 2: requirements effort quality projects risk decision scale; Topic 3: web empirical test model systematic product design; Topic 4: value management framework company cost large applications; Topic 5: testing industrial process project improve results object
Chalmers / Gothenburg University 21 53 Topic 1: test management lines empirical evolution large challenges; Topic 2: model product industrial design analysis architecture data; Topic 3: component models measurement goal testing patterns business; Topic 4: requirements systems modeling variability sustainability open ecosystems; Topic 5: development quality embedded agile object services industry
Lund University 7 25 Topic 1: product regression language quality improving jastadd extreme; Topic 2: attribute grammars analysis project method effects programming; Topic 3: testing line evidence framework methods time unit; Topic 4: requirements test risk model selection decision estimation; Topic 5: development management open large systematic practices distances
RISE Research Institutes of Sweden AB 10 18 Topic 1: cost time cyber service systematic making insurance; Topic 2: systems development enterprise traceability impact industrial neural; Topic 3: decision automotive models real classification architecting functional; Topic 4: estimation networks framework artificial open availability cognitive; Topic 5: analysis architecture embedded mapping model data quality
KTH Royal Institute of Technology 6 12 Topic 1: systems automatic modeling static application business information; Topic 2: test attacks java automated network dynamic measurement; Topic 3: analysis architecture testing checking vulnerability design general; Topic 4: probabilistic networked security efficient extended modifiability large; Topic 5: model enterprise theory models critical verification injection
Mälardalen University 4 10 Topic 1: time response mixed uml real systematic vehicle; Topic 2: industrial extending modelling rubus execution transmission predictable; Topic 3: systems analysis component network test area framework; Topic 4: embedded distributed controller code holistic heterogeneous iot; Topic 5: end model timing vehicular models messages development
Skövde University 3 6 Topic 1: standards systems projects organisations sector area; Topic 2: open swedish involvement term time models; Topic 3: model perceptions analysis long development communities; Topic 4: method experiences companies mutation mutants evolutionary; Topic 5: source tool biological maintenance organisational public
Karlstad University 2 6 Topic 1: kanban combinatorial agile variable; Topic 2: testing interaction systematic companies; Topic 3: development particle swarm generation
Linköping University 3 5 Topic 1: object modeling physical symbolic cyber; Topic 2: dynamic modelica interprocedural algorithmic languages; Topic 3: debugging language equation environment incremental; Topic 4: slicing testing development programs program
Linneaus Univerity 5 5 Topic 1: antipatterns self patterns soa model architecture response; Topic 2: adaptive physical resilience graphs infrastructures fast machine; Topic 3: systems security specification optimization scheduling formal task; Topic 4: design logp programs modeling surveillance cognitive multiformalism; Topic 5: detection analysis control machines component modelling management
Malmö University 2 3 Topic 1: ecosystem data; Topic 2: data ecosystem
Örebro University 1 2 Topic 1: analysis requirements effort; Topic 2: data framework phase; Topic 3: statistical compositional quality
Stockholm University 1 1 Topic 1: processes governance frameworks contract; Topic 2: business service modeling process; Topic 3: capability requirements enterprise organizations
Jönköping University 1 1 Topic 1: agreements user learning; Topic 2: learning user spyware; Topic 3: end license spyware
Swe-SE-SCI scholars and apparent research interests: Click on a header to sort by the corresponding column.
Scholar Affiliation SSS rating Apparent research interests
Claes Wohlin Blekinge Institute of Technology 63.25 empirical, project, success, methods, factors, analysis, journals, reliability, systematic, data
Jan Bosch Chalmers / Gothenburg University 53.03 product, architecture, lines, ecosystems, object, families, development, variability, systems, component
Emilia Mendes Blekinge Institute of Technology 38.57 web, effort, estimation, company, value, applications, cost, hypermedia, bayesian, development
Per Runeson Lund University 36.54 testing, test, industry, unit, detection, product, open, collaboration, inspection, academia
Tony Gorschek Blekinge Institute of Technology 27.62 requirements, model, empirical, product, process, development, practice, management, abstraction, transfer
Robert Feldt Chalmers / Gothenburg University 26.07 test, search, genetic, diverse, programming, versions, generating, cases, diversity, testing
Benoit Baudry KTH Royal Institute of Technology 24.8 test, model, testability, design, genetic, validation, optimization, automatic, testing, analysis
Björn Regnell Lund University 23.34 requirements, model, quality, product, domain, mobile, reqt, org, scale, large
Krzysztof Wnuk Blekinge Institute of Technology 22.21 requirements, decision, management, scoping, large, scale, open, industrial, innovation, product
Michael Felderer Blekinge Institute of Technology 21.18 testing, risk, security, test, industrial, system, defect, requirements, systems, results
Miroslaw Staron Chalmers / Gothenburg University 20.4 measurement, industrial, development, systems, large, projects, measures, code, method, defect
Martin Monperrus KTH Royal Institute of Technology 19.22 model, measurement, system, repair, les, automated, automatic, generative, method, maritime
Jürgen Börstler Blekinge Institute of Technology 18.4 teaching, role, object, learning, play, tools, concepts, projects, programmieren, example
Martin Höst Lund University 17.82 product, development, processes, source, management, open, project, commercial, methods, subjective
Mikael Svahnberg Blekinge Institute of Technology 16.86 quality, architecture, product, attributes, requirements, method, architectures, lines, repm, variability
Ivica Crnkovic Chalmers / Gothenburg University 16.75 component, systems, development, embedded, process, scm, components, change, challenges, management
Daniel Méndez Fernández Blekinge Institute of Technology 16.07 requirements, artefact, naming, pain, practice, results, artefacts, improvement, germany, design
Darja Smite Blekinge Institute of Technology 15.23 global, development, learned, lessons, project, cost, empirical, evidence, product, offshoring
Efi Papatheocharous RISE Research Institutes of Sweden AB 12.79 cost, estimation, decision, artificial, development, fuzzy, neural, networks, cognitive, systems
Eric Knauss Chalmers / Gothenburg University 12.45 requirements, supporting, von, continuous, development, system, heuristic, clarification, quality, anforderungen
Patrizio Pelliccione Chalmers / Gothenburg University 11.89 systems, architectural, framework, specifications, cars, ecosystems, constituents, icsa, 2018, system
Richard Torkar Chalmers / Gothenburg University 11.84 testing, purpose, reuse, industry, patterns, methods, systematic, practices, traceability, extracting
Wasif Afzal Mälardalen University 11.5 systematic, runtime, testing, fault, development, rt2, methods, scalable, systems, ecsel
Markus Borg RISE Research Institutes of Sweden AB 11.33 traceability, reports, analysis, impact, bug, information, issue, recovery, time, safety
Gregory Gay Chalmers / Gothenburg University 11.03 test, generation, search, real, coverage, model, fitness, automated, steering, program
Richard Berntsson-Svensson Chalmers / Gothenburg University 10.94 requirements, quality, quper, practice, industrial, techniques, companies, creativity, model, development
Emelie Engström Lund University 10.55 test, testing, regression, product, line, selection, systematic, mapping, serp, supporting
Michael Unterkalmsteiner Blekinge Institute of Technology 10.15 requirements, test, alignment, improvement, process, large, next, industry, archaeology, information
Nauman Bin Ali Blekinge Institute of Technology 10.08 systematic, search, process, simulation, industrial, literature, development, industry, mapping, stream
Björn Lundell Skövde University 9.17 open, source, swedish, tool, standards, method, perceptions, systems, experiences, openness
Elizabeth Bjarnason Lund University 8.89 requirements, development, distances, evidence, method, timelines, project, communication, large, cases
Regina Hebig Chalmers / Gothenburg University 8.68 model, development, evolution, mde, languages, processes, magnifying, transformation, nature, changeability
Davide Fucci Blekinge Institute of Technology 8.63 test, development, replication, effects, external, conformance, sleep, process, first, requirements
Fabian Fagerholm Blekinge Institute of Technology 8.58 education, projects, agile, open, onboarding, lean, patterns, developers, performance, experience
Philipp Leitner Chalmers / Gothenburg University 7.78 service, services, cloud, level, web, violations, practice, compositions, performance, testing
Pontus Johnson KTH Royal Institute of Technology 7.26 analysis, architecture, modeling, theory, enterprise, probabilistic, general, business, vulnerability, attack
Welf Löwe Linneaus Univerity 7.2 logp, programs, scheduling, optimization, graphs, task, machines, pram, communication, machine
Birgit Penzenstadler Chalmers / Gothenburg University 7.16 sustainability, requirements, systems, design, model, domain, system, systematic, green, automotive
Riccardo Scandariato Chalmers / Gothenburg University 7.05 security, design, defense, networks, modeling, system, technique, learned, distributed, generative
Panagiota Chatzipetrou Örebro University 6.88 analysis, data, framework, requirements, statistical, prioritization, distribution, goals, phase, effort
Bestoun S. Ahmed Karlstad University 6.85 interaction, testing, combinatorial, particle, swarm, systematic, automated, applications, generation, variable
Jakob Axelsson RISE Research Institutes of Sweden AB 6.73 systems, system, time, embedded, real, analysis, automotive, hardware, architecting, systematic
Jennifer Horkoff Chalmers / Gothenburg University 6.63 goal, modeling, requirements, analysis, interactive, models, systematic, model, enterprise, experiences
Peter Fritzson Linköping University 6.62 modelica, modeling, language, object, environment, equation, debugging, incremental, development, languages
Emil Alégroth Blekinge Institute of Technology 6.3 testing, gui, visual, industrial, practice, empirical, test, debt, automated, system
Thorsten Berger Chalmers / Gothenburg University 6.06 variability, modeling, feature, systems, product, editing, management, large, lines, connect
Jan-Philipp Steghöfer Chalmers / Gothenburg University 5.61 systems, self, organising, open, agile, computing, organic, die, scrum, posomas
Federico Ciccozzi Mälardalen University 5.48 systems, model, uml, embedded, models, code, execution, generation, modelling, semantics
Helena Holmström Olsson Malmö University 5.25 ecosystem, data, empowerment, development, chaos, embedded, telesm, strategy, singing, challenges
Robert Lagerström KTH Royal Institute of Technology 5.08 architecture, enterprise, systems, analysis, modifiability, cost, development, management, maintainability, metamodel
Hannes Holm KTH Royal Institute of Technology 4.36 attacks, vulnerability, system, expert, investigation, scanning, empirical, web, application, security
Thomas Olsson RISE Research Institutes of Sweden AB 4.17 gqm, language, decision, companies, making, reconfigurable, requirements, time, quality, industry
Imed Hammouda Chalmers / Gothenburg University 4.12 open, source, concern, patterns, design, development, pattern, learning, systems, sustainable
Mariam Kamkar Linköping University 4.09 slicing, dynamic, interprocedural, program, debugging, programs, testing, applied, algorithmic, flow
Ludwik Kuzniarz Blekinge Institute of Technology 4.06 uml, models, model, development, multimedia, teaching, modeling, domain, stereotypes, classification
Francis Palma Linneaus Univerity 4.06 antipatterns, detection, patterns, specification, soa, restful, prioritization, service, test, apis
Gul Calikli Chalmers / Gothenburg University 4.04 confirmation, bias, effects, analysis, development, defect, modeling, affecting, factors, developers
Jonas Gamalielsson Skövde University 3.96 open, source, standards, biological, libreoffice, evolutionary, editorship, semantic, pdf, projects
Ulrik Franke RISE Research Institutes of Sweden AB 3.93 enterprise, architecture, insurance, analysis, service, cyber, framework, availability, bayesian, decision
Jonas Lundberg Linneaus Univerity 3.92 analysis, resilience, design, response, points, fast, air, identification, conceptual, management
Kenneth Lind Chalmers / Gothenburg University 3.86 size, estimation, components, embedded, code, real, automated, time, compsize, model
Muhammad Ovais Ahmad Karlstad University 3.86 kanban, development, agile, systematic, companies, learning, citation, factory, portfolio, channels
Deepika Badampudi Blekinge Institute of Technology 3.83 systematic, knowledge, translation, decision, making, literature, bayesian, perspectives, mapping, code
Birgitta Lindström Skövde University 3.83 mutation, time, mutants, testability, models, strong, aspect, real, dynamic, subsuming
Javier Gonzalez-Huerta Blekinge Institute of Technology 3.67 product, derivation, architecture, models, validating, multimodel, model, improvement, development, automatic
Ana Magazinius RISE Research Institutes of Sweden AB 3.64 estimation, cost, estimates, mapping, practice, behaviors, context, effects, complexity, investigating
Kristian Sandahl Linköping University 3.53 extended, expert, active, participation, requirements, methods, inspections, systems, replication, developing
Patrik Berander Malmö University 3.47 requirements, voting, hierarchies, prioritization, cumulative, hierarchical, question, framework, evaluating, factors
Pasqualina Potena RISE Research Institutes of Sweden AB 3.37 tradeoff, attributes, composition, architecture, systems, service, functional, directions, optimization, quality
Görel Hedin Lund University 3.23 attribute, grammars, programming, extreme, jastadd, preface, object, languages, system, teaching
Niklas Lavesson Jönköping University 2.99 learning, user, license, end, agreements, spyware, evaluating, hospitalization, risk, quantifying
Narges Khakpour Linneaus Univerity 2.93 systems, self, adaptive, formal, behavioral, policy, adaptation, structural, adaptations, analysis
Lars Pareto Chalmers / Gothenburg University 2.8 architectural, development, base, concern, investigation, projects, design, model, station, concerns
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 2.62 test, testing, empirical, support, large, industry, techniques, within, reproducibility, visualisation
Christin Lindholm Lund University 2.57 risk, development, analysis, medical, device, management, process, differences, perspective, testing
Michael Mattsson Blekinge Institute of Technology 2.57 framework, industrial, causes, paper, evolving, experience, evolution, stability, application, solutions
Cyrille Artho KTH Royal Institute of Technology 2.5 model, checking, testing, analysis, java, networked, test, static, systems, efficient
Jelena Zdravkovic Stockholm University 2.49 business, capability, processes, modeling, service, requirements, organizations, enterprise, frameworks, services
Saad Mubeen Mälardalen University 1.89 analysis, time, systems, end, response, embedded, component, timing, distributed, mixed
Niklas Mellegård RISE Research Institutes of Sweden AB 1.36 defect, automotive, embedded, initial, weight, development, light, industrial, improving, scheme
Daniel Flemström Mälardalen University 1.33 test, guarded, assertions, passive, interactive, reuse, development, natural, automation, saga
Peter Wallin RISE Research Institutes of Sweden AB 1.29 development, related, system, issues, product, heavy, vehicles, line, mitigation, automotive
Francesco Flammini Linneaus Univerity 1.2 systems, critical, surveillance, security, physical, infrastructures, modelling, infrastructure, event, transit
Stefan Cedergren RISE Research Institutes of Sweden AB 1.0 evaluating, products, development, performance
Signature SCI works by Swe-SE-SCI scholars: Click on a header to sort by the corresponding column.
Scholar Affiliation SSS rating Signature SSS works
Claes Wohlin Blekinge Institute of Technology 63.25 2015: Towards a decision-making structure for selecting a research design in empirical software engineering. (Empirical Software Engineering) 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?. (Empirical Software Engineering) 2003: Prioritizing and Assessing Software Project Success Factors and Project Characteristics using Subjective Data. (Empirical Software Engineering) 2001: Assessing Project Success Using Subjective Evaluation Factors. (Software Quality Journal) 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. (Software Quality Journal) 1995: An Experimental Evaluation of Capture-Recapture in Software Inspections. (Softw. Test., Verif. Reliab.) 1994: Certification of Software Components. (IEEE Trans. Software Eng.)
Jan Bosch Chalmers / Gothenburg University 53.03 2018: Ecosystem traps and where to find them. (Journal of Software: Evolution and 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. Exper.) 2010: From integration to composition: On the impact of software product lines, global development and ecosystems. (J. Syst. Softw.) 2003: Software architecture – Engineering quality attributes. (J. Syst. Softw.) 1999: Superimposition: a component adaptation technique. (Inf. Softw. Technol.)
Emilia Mendes Blekinge Institute of Technology 38.57 2019: Using Bayesian Network to Estimate the Value of Decisions within the Context of Value-Based Software Engineering: A Multiple Case Study. (International Journal of Software Engineering and Knowledge Engineering) 2018: Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework. (Software Quality Journal) 2018: Correction to: Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework. (Software Quality Journal) 2008: Replicating studies on cross- vs single-company effort models using the ISBSG Database. (Empirical Software Engineering) 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. (Empirical Software Engineering) 1998: Reusability and maintainability in hypermedia applications for education. (Inf. Softw. Technol.)
Per Runeson Lund University 36.54 2014: Variation factors in the design and analysis of replicated controlled experiments – Three (dis)similar studies on inspections versus unit testing. (Empirical Software Engineering) 2009: Guidelines for conducting and reporting case study research in software engineering. (Empirical Software Engineering) 2003: Test processes in software product evolution – a qualitative survey on the state of practice. (Journal of Software Maintenance) 1998: An Experimental Evaluation of an Experience-Based Capture-Recapture Method in Software Code Inspections. (Empirical Software Engineering)
Tony Gorschek Blekinge Institute of Technology 27.62 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. (Journal of Software Maintenance) 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. Exper.)
Robert Feldt Chalmers / Gothenburg University 26.07 2010: Links between the personalities, views and attitudes of software engineers. (Inf. Softw. Technol.)
Benoit Baudry KTH Royal Institute of Technology 24.8 2005: Measuring design testability of a UML class diagram. (Inf. Softw. Technol.) 2005: From genetic to bacteriological algorithms for mutation-based testing. (Softw. Test., Verif. Reliab.)
Björn Regnell Lund University 23.34 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. (Empirical Software Engineering) 2000: Towards integration of use case modelling and usage-based testing. (J. Syst. Softw.)
Krzysztof Wnuk Blekinge Institute of Technology 22.21 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. (Journal of Software: Evolution and 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. (Empirical Software Engineering)
Michael Felderer Blekinge Institute of Technology 21.18 2019: Comprehensibility of system models during test design: a controlled experiment comparing UML activity diagrams and state machines. (Software Quality Journal) 2016: Risk orientation in software testing processes of small and medium enterprises: an exploratory and comparative study. (Software Quality Journal) 2016: Model-based security testing: a taxonomy and systematic classification. (Softw. Test., Verif. 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. (Software Quality Journal)
Miroslaw Staron Chalmers / Gothenburg University 20.4 2018: Industrial experiences from evolving measurement systems into self-healing systems for improved availability. (Softw., Pract. Exper.) 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. (Journal of Software Maintenance) 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.)
Martin Monperrus KTH Royal Institute of Technology 19.22 2013: Automated measurement of models of requirements. (Software Quality Journal) 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. (Empirical Software Engineering)
Jürgen Börstler Blekinge Institute of Technology 18.4 2016: Beauty and the Beast: on the readability of object-oriented example programs. (Software Quality Journal) 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 17.82 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. (Empirical Software Engineering) 2000: Evaluation of code review methods through interviews and experimentation. (J. Syst. Softw.) 1997: A subjective effort estimation experiment. (Inf. Softw. Technol.)
Mikael Svahnberg Blekinge Institute of Technology 16.86 2017: A model for assessing and re-assessing the value of software reuse. (Journal of Software: Evolution and 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. (Empirical Software Engineering) 2005: A taxonomy of variability realization techniques. (Softw., Pract. Exper.) 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. (International Journal of Software Engineering and Knowledge Engineering) 1999: Evolution in software product lines: two cases. (Journal of Software Maintenance)
Ivica Crnkovic Chalmers / Gothenburg University 16.75 2011: A Classification Framework for Software Component Models. (IEEE Trans. Software Eng.) 2005: Automated Component-Based Software Engineering. (J. Syst. Softw.) 2002: Challenges of component-based development. (J. Syst. Softw.)
Daniel Méndez Fernández Blekinge Institute of Technology 16.07 2019: The open science initiative of the Empirical Software Engineering journal. (Empirical Software Engineering) 2019: Empirical software engineering: From discipline to interdiscipline. (J. Syst. Softw.) 2017: Naming the pain in requirements engineering – Contemporary problems, causes, and effects in practice. (Empirical Software Engineering) 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.)
Darja Smite Blekinge Institute of Technology 15.23 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. (Empirical Software Engineering) 2013: Offshore insourcing in software development: Structuring the decision-making process. (J. Syst. Softw.) 2012: Lessons learned from transferring software products to India. (Journal of Software: Evolution and Process) 2010: Empirical evidence in global software engineering: a systematic review. (Empirical Software Engineering)
Efi Papatheocharous RISE Research Institutes of Sweden AB 12.79 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. (Journal of Software: Evolution and Process) 2014: Empirical evidence and state of practice of software agile teams. (Journal of Software: Evolution and Process) 2012: A Hybrid Software Cost Estimation Approach Utilizing Decision Trees and Fuzzy Logic. (International Journal of Software Engineering and Knowledge Engineering)
Eric Knauss Chalmers / Gothenburg University 12.45 2018: Continuous clarification and emergent requirements flows in open-commercial software ecosystems. (Requir. Eng.) 2015: Patterns of continuous requirements clarification. (Requir. Eng.)
Patrizio Pelliccione Chalmers / Gothenburg University 11.89 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 11.84 2012: Requirements Traceability: a Systematic Review and Industry Case Study. (International Journal of Software Engineering and Knowledge Engineering)
Wasif Afzal Mälardalen University 11.5 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. (Empirical Software Engineering) 2014: Prediction of faults-slip-through in large software projects: an empirical evaluation. (Software Quality Journal) 2012: Resampling Methods in Software Quality Classification. (International Journal of Software Engineering and Knowledge Engineering) 2009: A systematic review of search-based testing for non-functional system properties. (Inf. Softw. Technol.)
Markus Borg RISE Research Institutes of Sweden AB 11.33 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. (Journal of Software: Evolution and Process) 2014: Recovering from a decade: a systematic mapping of information retrieval approaches to software traceability. (Empirical Software Engineering)
Gregory Gay Chalmers / Gothenburg University 11.03 2017: Automated Steering of Model-Based Test Oracles to Admit Real Program Behaviors. (IEEE Trans. Software Eng.) 2016: The Effect of Program and Model Structure on the Effectiveness of MC/DC Test Adequacy Coverage. (ACM Trans. Softw. Eng. Methodol.) 2015: The Risks of Coverage-Directed Test Case Generation. (IEEE Trans. Software Eng.) 2015: Automated Oracle Data Selection Support. (IEEE Trans. Software Eng.) 2010: Finding robust solutions in requirements models. (Autom. Softw. Eng.) 2010: Automatically finding the control variables for complex system behavior. (Autom. Softw. Eng.)
Richard Berntsson-Svensson Chalmers / Gothenburg University 10.94 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.)
Emelie Engström Lund University 10.55 2017: SERP-test: a taxonomy for supporting industry-academia communication. (Software Quality Journal) 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 10.15 2016: Large-scale information retrieval in software engineering – an experience report from industrial application. (Empirical Software Engineering) 2015: Assessing requirements engineering and software test alignment – Five case studies. (J. Syst. Softw.) 2014: A conceptual framework for SPI evaluation. (Journal of Software: Evolution and 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.)
Nauman Bin Ali Blekinge Institute of Technology 10.08 2019: On the search for industry-relevant regression testing research. (Empirical Software Engineering) 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.)
Björn Lundell Skövde University 9.17 2011: Practitioner perceptions of Open Source software in the embedded systems area. (J. Syst. Softw.) 2004: Changing perceptions of CASE technology. (J. Syst. Softw.)
Elizabeth Bjarnason Lund University 8.89 2019: Improving requirements-test alignment by prescribing practices that mitigate communication gaps. (Empirical Software Engineering) 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. (Empirical Software Engineering) 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.)
Regina Hebig Chalmers / Gothenburg University 8.68 2017: The changing balance of technology and process: A case study on a combined setting of model-driven development and classical C coding. (Journal of Software: Evolution and Process) 2017: Approaches to Co-Evolution of Metamodels and Models: A Survey. (IEEE Trans. Software Eng.)
Davide Fucci Blekinge Institute of Technology 8.63 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. (Empirical Software Engineering)
Fabian Fagerholm Blekinge Institute of Technology 8.58 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.)
Philipp Leitner Chalmers / Gothenburg University 7.78 2019: A mixed-method empirical study of Function-as-a-Service software development in industrial practice. (J. Syst. Softw.)
Pontus Johnson KTH Royal Institute of Technology 7.26 2016: The Tarpit – A general theory of software engineering. (Inf. Softw. Technol.)
Welf Löwe Linneaus Univerity 7.2 2005: Rapid Construction of Software Comprehension Tools. (International Journal of Software Engineering and Knowledge Engineering)
Birgit Penzenstadler Chalmers / Gothenburg University 7.16 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.)
Riccardo Scandariato Chalmers / Gothenburg University 7.05 2015: A descriptive study of Microsoft’s threat modeling technique. (Requir. Eng.) 2014: Predicting Vulnerable Software Components via Text Mining. (IEEE Trans. Software Eng.)
Panagiota Chatzipetrou Örebro University 6.88 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. (Software Quality Journal)
Bestoun S. Ahmed Karlstad University 6.85 2019: Code-aware combinatorial interaction testing. (IET Software) 2017: Handling constraints in combinatorial interaction testing in the presence of multi objective particle swarm and multithreading. (Inf. Softw. Technol.) 2015: Achievement of minimized combinatorial test suite for configuration-aware software functional testing using the Cuckoo Search algorithm. (Inf. Softw. Technol.) 2011: A variable strength interaction test suites generation strategy using Particle Swarm Optimization. (J. Syst. Softw.)
Jakob Axelsson RISE Research Institutes of Sweden AB 6.73 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.)
Jennifer Horkoff Chalmers / Gothenburg University 6.63 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.) 2013: Comparison and evaluation of goal-oriented satisfaction analysis techniques. (Requir. Eng.)
Peter Fritzson Linköping University 6.62 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.)
Emil Alégroth Blekinge Institute of Technology 6.3 2017: On the long-term use of visual gui testing in industrial practice: a case study. (Empirical Software Engineering) 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. (Empirical Software Engineering)
Thorsten Berger Chalmers / Gothenburg University 6.06 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.)
Jan-Philipp Steghöfer Chalmers / Gothenburg University 5.61 2017: No silver brick: Opportunities and limitations of teaching Scrum with Lego workshops. (J. Syst. Softw.)
Federico Ciccozzi Mälardalen University 5.48 2018: Architecture optimization: speed or accuracy? both! (Software Quality Journal) 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.)
Helena Holmström Olsson Malmö University 5.25 2017: From ad hoc to strategic ecosystem management: the “Three-Layer Ecosystem Strategy Model” (TeLESM). (Journal of Software: Evolution and Process)
Robert Lagerström KTH Royal Institute of Technology 5.08 2013: Increasing software development efficiency and maintainability for complex industrial systems – A case study. (Journal of Software: Evolution and Process) 2012: Identifying factors affecting software development cost and productivity. (Software Quality Journal) 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. (Software Quality Journal)
Hannes Holm KTH Royal Institute of Technology 4.36 2015: A Bayesian network model for likelihood estimations of acquirement of critical software vulnerabilities and exploits. (Inf. Softw. Technol.)
Thomas Olsson RISE Research Institutes of Sweden AB 4.17 2019: An empirical study on decision making for quality requirements. (J. Syst. Softw.)
Imed Hammouda Chalmers / Gothenburg University 4.12 2011: Managing Concern Knowledge in Software Systems. (International Journal of Software Engineering and Knowledge Engineering) 2009: Design profiles: toward unified tool support for design patterns and UML profiles. (Softw., Pract. Exper.)
Mariam Kamkar Linköping University 4.09 1998: Application of program slicing in algorithmic debugging. (Inf. Softw. Technol.) 1995: An overview and comparative classification of program slicing techniques. (J. Syst. Softw.)
Ludwik Kuzniarz Blekinge Institute of Technology 4.06 2011: Empirical extension of a classification framework for addressing consistency in model based development. (Inf. Softw. Technol.)
Francis Palma Linneaus Univerity 4.06 2019: UniDoSA: The Unified Specification and Detection of Service Antipatterns. (IEEE Trans. Software Eng.)
Gul Calikli Chalmers / Gothenburg University 4.04 2015: Empirical analysis of factors affecting confirmation bias levels of software engineers. (Software Quality Journal)
Jonas Gamalielsson Skövde University 3.96 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.)
Ulrik Franke RISE Research Institutes of Sweden AB 3.93 2012: Availability of enterprise IT systems: an expert-based Bayesian framework. (Software Quality Journal)
Jonas Lundberg Linneaus Univerity 3.92 2009: Fast and precise points-to analysis. (Inf. Softw. Technol.)
Kenneth Lind Chalmers / Gothenburg University 3.86 2012: A Practical Approach to Size Estimation of Embedded Software Components. (IEEE Trans. Software Eng.)
Muhammad Ovais Ahmad Karlstad University 3.86 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. (Journal of Software: Evolution and Process)
Deepika Badampudi Blekinge Institute of Technology 3.83 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 3.83 2019: On strong mutation and the theory of subsuming logic-based mutants. (Softw. Test., Verif. Reliab.) 2017: Using mutation to design tests for aspect-oriented models. (Inf. Softw. Technol.)
Javier Gonzalez-Huerta Blekinge Institute of Technology 3.67 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 AB 3.64 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. (Journal of Software Maintenance)
Kristian Sandahl Linköping University 3.53 1998: An Extended Replication of an Experiment for Assessing Methods for Software Requirements Inspections. (Empirical Software Engineering)
Patrik Berander Malmö University 3.47 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. (International Journal of Software Engineering and Knowledge Engineering)
Pasqualina Potena RISE Research Institutes of Sweden AB 3.37 2013: Optimization of adaptation plans for a service-oriented architecture with cost, reliability, availability and performance tradeoff. (J. Syst. Softw.)
Görel Hedin Lund University 3.23 2005: Teaching extreme programming to large groups of students. (J. Syst. Softw.)
Niklas Lavesson Jönköping University 2.99 2014: A method for evaluation of learning components. (Autom. Softw. Eng.)
Narges Khakpour Linneaus Univerity 2.93 2012: HPobSAM for modeling and analyzing IT Ecosystems – Through a case study. (J. Syst. Softw.)
Lars Pareto Chalmers / Gothenburg University 2.8 2012: Collaborative prioritization of architectural concerns. (J. Syst. Softw.)
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 2.62 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.)
Christin Lindholm Lund University 2.57 2015: Involving user perspective in a software risk management process. (Journal of Software: Evolution and Process) 2014: A case study on software risk analysis and planning in medical device development. (Software Quality Journal)
Michael Mattsson Blekinge Institute of Technology 2.57 2000: Stability assessment of evolving industrial object-oriented frameworks. (Journal of Software Maintenance)
Cyrille Artho KTH Royal Institute of Technology 2.5 2003: High-level data races. (Softw. Test., Verif. Reliab.)
Jelena Zdravkovic Stockholm University 2.49 2015: Capturing consumer preferences as requirements for software product lines. (Requir. Eng.)
Saad Mubeen Mälardalen University 1.89 2015: Integrating mixed transmission and practical limitations with the worst-case response-time analysis for Controller Area Network. (J. Syst. Softw.)
Niklas Mellegård RISE Research Institutes of Sweden AB 1.36 2016: Impact of Introducing Domain-Specific Modelling in Software Maintenance: An Industrial Case Study. (IEEE Trans. Software Eng.)
Daniel Flemström Mälardalen University 1.33 2018: Similarity-based prioritization of test case automation. (Software Quality Journal)
Peter Wallin RISE Research Institutes of Sweden AB 1.29 2012: Problems and their mitigation in system and software architecting. (Inf. Softw. Technol.)
Francesco Flammini Linneaus Univerity 1.2 2009: Automatic instantiation of abstract tests on specific configurations for large critical control systems. (Softw. Test., Verif. Reliab.)
Stefan Cedergren RISE Research Institutes of Sweden AB 1.0 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 174 0.39 0.32 24.96 63.25
Jan Bosch Chalmers / Gothenburg University 329 0.13 0.31 12.56 53.03
Emilia Mendes Blekinge Institute of Technology 175 0.18 0.4 12.64 38.57
Per Runeson Lund University 142 0.29 0.21 8.71 36.54
Tony Gorschek Blekinge Institute of Technology 110 0.47 0.13 11.18 27.62
Robert Feldt Chalmers / Gothenburg University 120 0.3 0.14 5.34 26.07
Benoit Baudry KTH Royal Institute of Technology 187 0.14 0.12 6.1 24.8
Björn Regnell Lund University 89 0.34 0.18 6.29 23.34
Krzysztof Wnuk Blekinge Institute of Technology 92 0.22 0.3 7.22 22.21
Michael Felderer Blekinge Institute of Technology 164 0.1 0.31 7.58 21.18
Miroslaw Staron Chalmers / Gothenburg University 123 0.13 0.37 9.87 20.4
Martin Monperrus KTH Royal Institute of Technology 89 0.24 0.18 5.48 19.22
Jürgen Börstler Blekinge Institute of Technology 75 0.21 0.37 4.89 18.4
Martin Höst Lund University 93 0.18 0.22 6.96 17.82
Mikael Svahnberg Blekinge Institute of Technology 32 0.5 0.59 10.76 16.86
Ivica Crnkovic Chalmers / Gothenburg University 144 0.09 0.28 5.31 16.75
Daniel Méndez Fernández Blekinge Institute of Technology 78 0.18 0.29 7.44 16.07
Darja Smite Blekinge Institute of Technology 67 0.18 0.48 6.25 15.23
Efi Papatheocharous RISE Research Institutes of Sweden AB 51 0.2 0.51 5.01 12.79
Eric Knauss Chalmers / Gothenburg University 96 0.1 0.32 3.66 12.45
Patrizio Pelliccione Chalmers / Gothenburg University 127 0.13 0.06 4.6 11.89
Richard Torkar Chalmers / Gothenburg University 62 0.35 0.1 3.5 11.84
Wasif Afzal Mälardalen University 57 0.19 0.23 6.06 11.5
Markus Borg RISE Research Institutes of Sweden AB 56 0.16 0.43 4.97 11.33
Gregory Gay Chalmers / Gothenburg University 30 0.3 0.67 6.51 11.03
Richard Berntsson-Svensson Chalmers / Gothenburg University 43 0.21 0.44 4.84 10.94
Emelie Engström Lund University 31 0.32 0.39 4.81 10.55
Michael Unterkalmsteiner Blekinge Institute of Technology 32 0.34 0.28 5.81 10.15
Nauman Bin Ali Blekinge Institute of Technology 21 0.48 0.48 6.51 10.08
Björn Lundell Skövde University 71 0.1 0.31 3.14 9.17
Elizabeth Bjarnason Lund University 30 0.23 0.7 6.33 8.89
Regina Hebig Chalmers / Gothenburg University 57 0.12 0.33 3.0 8.68
Davide Fucci Blekinge Institute of Technology 39 0.18 0.41 4.62 8.63
Fabian Fagerholm Blekinge Institute of Technology 41 0.17 0.39 3.74 8.58
Philipp Leitner Chalmers / Gothenburg University 115 0.05 0.23 2.59 7.78
Pontus Johnson KTH Royal Institute of Technology 90 0.06 0.26 2.25 7.26
Welf Löwe Linneaus Univerity 111 0.05 0.16 2.55 7.2
Birgit Penzenstadler Chalmers / Gothenburg University 101 0.05 0.43 2.36 7.16
Riccardo Scandariato Chalmers / Gothenburg University 66 0.09 0.17 3.0 7.05
Panagiota Chatzipetrou Örebro University 17 0.35 0.59 2.51 6.88
Bestoun S. Ahmed Karlstad University 22 0.27 0.45 4.36 6.85
Jakob Axelsson RISE Research Institutes of Sweden AB 60 0.08 0.57 2.85 6.73
Jennifer Horkoff Chalmers / Gothenburg University 94 0.05 0.39 4.99 6.63
Peter Fritzson Linköping University 122 0.04 0.19 3.47 6.62
Emil Alégroth Blekinge Institute of Technology 26 0.19 0.54 3.41 6.3
Thorsten Berger Chalmers / Gothenburg University 77 0.06 0.21 3.02 6.06
Jan-Philipp Steghöfer Chalmers / Gothenburg University 69 0.06 0.28 1.95 5.61
Federico Ciccozzi Mälardalen University 65 0.06 0.45 3.71 5.48
Helena Holmström Olsson Malmö University 93 0.04 0.32 2.19 5.25
Robert Lagerström KTH Royal Institute of Technology 74 0.05 0.27 4.7 5.08
Hannes Holm KTH Royal Institute of Technology 39 0.08 0.54 1.56 4.36
Thomas Olsson RISE Research Institutes of Sweden AB 39 0.08 0.33 1.56 4.17
Imed Hammouda Chalmers / Gothenburg University 73 0.04 0.32 2.8 4.12
Mariam Kamkar Linköping University 26 0.12 0.42 2.33 4.09
Ludwik Kuzniarz Blekinge Institute of Technology 27 0.11 0.56 1.44 4.06
Francis Palma Linneaus Univerity 20 0.15 0.7 1.37 4.06
Gul Calikli Chalmers / Gothenburg University 26 0.12 0.38 1.43 4.04
Jonas Gamalielsson Skövde University 32 0.09 0.5 2.39 3.96
Ulrik Franke RISE Research Institutes of Sweden AB 69 0.04 0.38 1.86 3.93
Jonas Lundberg Linneaus Univerity 57 0.05 0.28 1.74 3.92
Kenneth Lind Chalmers / Gothenburg University 12 0.25 0.75 1.29 3.86
Muhammad Ovais Ahmad Karlstad University 15 0.2 0.6 2.22 3.86
Deepika Badampudi Blekinge Institute of Technology 11 0.27 0.82 2.18 3.83
Birgitta Lindström Skövde University 19 0.16 0.42 2.26 3.83
Javier Gonzalez-Huerta Blekinge Institute of Technology 34 0.09 0.18 1.51 3.67
Ana Magazinius RISE Research Institutes of Sweden AB 8 0.38 0.75 2.15 3.64
Kristian Sandahl Linköping University 28 0.21 0.07 1.72 3.53
Patrik Berander Malmö University 7 0.43 0.71 2.14 3.47
Pasqualina Potena RISE Research Institutes of Sweden AB 32 0.09 0.16 1.49 3.37
Görel Hedin Lund University 76 0.03 0.26 1.84 3.23
Niklas Lavesson Jönköping University 54 0.04 0.24 1.62 2.99
Narges Khakpour Linneaus Univerity 19 0.11 0.79 1.27 2.93
Lars Pareto Chalmers / Gothenburg University 26 0.08 0.35 1.34 2.8
Francisco Gomes de Oliveira Neto Chalmers / Gothenburg University 12 0.17 0.5 2.1 2.62
Christin Lindholm Lund University 8 0.25 0.75 2.06 2.57
Michael Mattsson Blekinge Institute of Technology 13 0.15 0.54 1.21 2.57
Cyrille Artho KTH Royal Institute of Technology 85 0.02 0.55 1.93 2.5
Jelena Zdravkovic Stockholm University 86 0.02 0.28 1.94 2.49
Saad Mubeen Mälardalen University 64 0.02 0.62 1.63 1.89
Niklas Mellegård RISE Research Institutes of Sweden AB 12 0.08 0.67 1.11 1.36
Daniel Flemström Mälardalen University 8 0.12 0.75 1.07 1.33
Peter Wallin RISE Research Institutes of Sweden AB 10 0.1 0.3 1.09 1.29
Francesco Flammini Linneaus Univerity 41 0.02 0.41 1.4 1.2
Stefan Cedergren RISE Research Institutes of Sweden AB 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”.

Previous SWE-SE-SCI lists

August 2019

September 2019