Navigating the academic Swedish software engineering landscape can be difficult. Swe-SE-SCI collects 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 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.
December 2019 – The 5th Swe-SE-SCI
This fifth edition of the Swe-SE-SCI index shows that the top-5 SE research organizations are BTH, Chalmers/Gothenburg, Lund University, RISE, and KTH. One new scholar has been added to the list.
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.
| Affiliation | #SSS scholars | #SCI publications | Research topics | |
|---|---|---|---|---|
| Blekinge Institute of Technology | 18 | 92 | Topic 1: testing industrial models projects framework improve teaching; Topic 2: effort quality model process architecture lessons method; Topic 3: requirements web test product decision cost uml; Topic 4: knowledge project management design value large global; Topic 5: development estimation empirical systematic risk company applications | |
| Chalmers / Gothenburg University | 20 | 52 | Topic 1: variability design large practice process size framework; Topic 2: industrial open testing source real automated support; Topic 3: product quality ecosystems service measurement components empirical; Topic 4: development test architecture management goal lines agile; Topic 5: requirements systems model component modeling analysis models | |
| Lund University | 7 | 25 | Topic 1: testing line distances improving academia programming framework; Topic 2: management model selection communication industrial quality preface; Topic 3: product project grammars method language collaboration gaps; Topic 4: test development regression open attribute analysis systematic; Topic 5: requirements risk large practices processes effects scale | |
| RISE Research Institutes of Sweden AB | 10 | 18 | Topic 1: systems development real artificial quality support defect; Topic 2: architecture estimation enterprise cyber service industrial systematic; Topic 3: decision automotive traceability framework trees fuzzy ecosystems; Topic 4: cost time models mapping making insurance management; Topic 5: analysis embedded networks impact neural data information | |
| KTH Royal Institute of Technology | 6 | 12 | Topic 1: model probabilistic efficient general applications techniques information; Topic 2: systems vulnerability security business method modifiability measurement; Topic 3: enterprise testing modeling networked design models application; Topic 4: analysis checking automatic static verification level testability; Topic 5: architecture test theory attacks automated network java | |
| Mälardalen University | 5 | 11 | Topic 1: analysis model vehicular service industrial vehicle automated; Topic 2: response timing test real development extending applications; Topic 3: systems component messages adaptation code complex supporting; Topic 4: time embedded distributed modeling controller systematic runtime; Topic 5: end models uml mixed network area modelling | |
| Skövde University | 3 | 6 | Topic 1: standards perceptions swedish long companies openness; Topic 2: source systems organisations analysis development embedded; Topic 3: experiences method tool models time influences; Topic 4: open term fork gene aspect public; Topic 5: model involvement mutation biological projects support | |
| Linköping University | 3 | 5 | Topic 1: object modelica incremental testing programs; Topic 2: debugging interprocedural environment algorithmic simulation; Topic 3: slicing language tools openmodelica symbolic; Topic 4: dynamic modeling equation parallel 2007 | |
| Linneaus Univerity | 5 | 5 | Topic 1: analysis machines surveillance formal graphs modeling component; Topic 2: detection antipatterns adaptive security task behavioral management; Topic 3: systems self critical physical soa architecture machine; Topic 4: design scheduling model resilience control process precise; Topic 5: specification patterns logp programs optimization infrastructures response | |
| Malmö University | 2 | 3 | Topic 1: data ecosystem; Topic 2: ecosystem data | |
| Örebro University | 1 | 2 | Topic 1: framework statistical compositional; Topic 2: analysis requirements prioritization; Topic 3: data effort distribution | |
| Stockholm University | 1 | 1 | Topic 1: business services governance capabilities; Topic 2: capability processes requirements process; Topic 3: modeling service organizations frameworks | |
| Jönköping University | 1 | 1 | Topic 1: end license agreements; Topic 2: learning agreements license; Topic 3: user spyware agreements |
| Scholar | Affiliation | SSS rating | Apparent research interests | |
|---|---|---|---|---|
| Claes Wohlin | Blekinge Institute of Technology | 63.25 | empirical, project, success, reliability, analysis, methods, factors, journals, systematic, subjective | |
| Jan Bosch | Chalmers / Gothenburg University | 52.87 | product, architecture, lines, ecosystems, object, families, variability, development, systems, data | |
| Per Runeson | Lund University | 36.28 | testing, test, academia, unit, open, industry, collaboration, inspection, detection, product | |
| Emilia Mendes | Blekinge Institute of Technology | 35.96 | web, effort, estimation, company, applications, cost, hypermedia, value, development, improve | |
| Tony Gorschek | Blekinge Institute of Technology | 27.62 | requirements, empirical, model, process, product, management, abstraction, development, transfer, practice | |
| Robert Feldt | Chalmers / Gothenburg University | 26.04 | test, search, diverse, programming, genetic, diversity, generating, empirical, testing, versions | |
| Benoit Baudry | KTH Royal Institute of Technology | 24.54 | test, model, testability, design, automatic, testing, validation, genetic, optimization, bacteriological | |
| Björn Regnell | Lund University | 22.73 | requirements, quality, model, product, testing, large, mobile, scenario, org, reqt | |
| Krzysztof Wnuk | Blekinge Institute of Technology | 20.94 | requirements, management, decision, large, scoping, open, scale, industrial, innovation, development | |
| Michael Felderer | Blekinge Institute of Technology | 20.8 | testing, risk, security, test, industrial, defect, system, requirements, systems, taxonomies | |
| Martin Monperrus | KTH Royal Institute of Technology | 18.75 | model, measurement, automatic, repair, system, automated, les, surveillance, missing, mod | |
| Miroslaw Staron | Chalmers / Gothenburg University | 18.74 | industrial, measurement, development, systems, large, projects, defect, measures, model, method | |
| Martin Höst | Lund University | 17.82 | product, source, development, processes, management, open, commercial, project, methods, effort | |
| Jürgen Börstler | Blekinge Institute of Technology | 17.57 | teaching, role, object, play, learning, tools, programmieren, pedagogies, projects, quality | |
| Mikael Svahnberg | Blekinge Institute of Technology | 16.86 | quality, architecture, architectures, product, requirements, attributes, method, lines, repm, uni | |
| Ivica Crnkovic | Chalmers / Gothenburg University | 16.75 | component, systems, development, process, scm, embedded, components, management, predictability, model | |
| Daniel Méndez Fernández | Blekinge Institute of Technology | 16.14 | requirements, artefact, naming, pain, results, practice, germany, artefacts, design, first | |
| Raffaela Mirandola | Mälardalen University | 15.5 | service, adaptation, qos, self, reliability, systems, performance, architectures, distributed, space | |
| Darja Smite | Blekinge Institute of Technology | 15.23 | global, development, lessons, learned, offshoring, cost, empirical, coordination, evidence, project | |
| Efi Papatheocharous | RISE Research Institutes of Sweden AB | 12.79 | cost, estimation, decision, artificial, development, neural, networks, fuzzy, cognitive, agile | |
| Richard Torkar | Chalmers / Gothenburg University | 11.76 | testing, reuse, creation, open, patterns, adopting, reliability, industrial, object, test | |
| Patrizio Pelliccione | Chalmers / Gothenburg University | 11.25 | architectural, framework, systems, specifications, cars, designing, automatic, system, message, automotive | |
| Markus Borg | RISE Research Institutes of Sweden AB | 11.17 | traceability, analysis, impact, reports, context, issue, bug, information, recovery, time | |
| Eric Knauss | Chalmers / Gothenburg University | 11.05 | requirements, von, continuous, supporting, agile, quality, clarification, system, ecosystems, feedback | |
| Gregory Gay | Chalmers / Gothenburg University | 11.03 | test, generation, real, coverage, search, model, faults, program, automated, steering | |
| Richard Berntsson-Svensson | Chalmers / Gothenburg University | 10.94 | requirements, quality, quper, practice, industrial, companies, creativity, model, techniques, creative | |
| Wasif Afzal | Mälardalen University | 10.87 | systematic, runtime, fault, testing, faults, megam, validation, systems, prediction, framework | |
| Emelie Engström | Lund University | 10.55 | test, testing, regression, selection, line, product, systematic, taxonomy, empirical, industrial | |
| Michael Unterkalmsteiner | Blekinge Institute of Technology | 10.15 | requirements, test, alignment, improvement, process, large, systematic, five, assessing, taxonomy | |
| Nauman Bin Ali | Blekinge Institute of Technology | 10.08 | systematic, process, literature, industrial, simulation, search, value, reviews, mapping, development | |
| Elizabeth Bjarnason | Lund University | 8.89 | requirements, development, distances, evidence, communication, gaps, practices, timelines, large, test | |
| Björn Lundell | Skövde University | 8.25 | open, source, swedish, method, tool, standards, perceptions, systems, openness, companies | |
| Regina Hebig | Chalmers / Gothenburg University | 7.7 | model, development, evolution, mde, processes, languages, setting, qvt, models, changeability | |
| Philipp Leitner | Chalmers / Gothenburg University | 7.64 | service, services, cloud, level, violations, web, performance, practice, testing, compositions | |
| Fabian Fagerholm | Blekinge Institute of Technology | 7.58 | agile, education, projects, patterns, source, open, developers, onboarding, continuous, experience | |
| Jennifer Horkoff | Chalmers / Gothenburg University | 7.53 | goal, modeling, requirements, analysis, interactive, models, systematic, model, creative, enterprise | |
| Davide Fucci | Blekinge Institute of Technology | 7.34 | test, development, replication, effects, process, skills, external, first, conformance, initial | |
| Pontus Johnson | KTH Royal Institute of Technology | 7.26 | analysis, architecture, modeling, theory, probabilistic, enterprise, general, business, diagrams, extended | |
| Welf Löwe | Linneaus Univerity | 7.2 | logp, programs, graphs, scheduling, optimization, task, machines, machine, communication, pram | |
| Panagiota Chatzipetrou | Örebro University | 6.88 | analysis, framework, statistical, data, requirements, effort, goals, phase, compositional, quality | |
| Riccardo Scandariato | Chalmers / Gothenburg University | 6.83 | security, design, text, system, microsoft, automate, least, threat, modeling, lmap | |
| Jakob Axelsson | RISE Research Institutes of Sweden AB | 6.73 | systems, system, time, real, embedded, analysis, automotive, architecting, hardware, systematic | |
| Birgit Penzenstadler | Chalmers / Gothenburg University | 6.73 | sustainability, requirements, systems, model, domain, green, systematic, system, automotive, design | |
| Thorsten Berger | Chalmers / Gothenburg University | 6.47 | variability, modeling, feature, systems, management, models, und, lines, projectional, von | |
| Peter Fritzson | Linköping University | 6.33 | object, modeling, language, modelica, debugging, environment, equation, incremental, physical, tools | |
| Emil Alégroth | Blekinge Institute of Technology | 6.3 | testing, gui, visual, industrial, empirical, test, practice, technical, system, testware | |
| Federico Ciccozzi | Mälardalen University | 5.4 | systems, model, uml, embedded, models, code, modelling, execution, generation, round | |
| Helena Holmström Olsson | Malmö University | 5.2 | ecosystem, data, mind, make, management, much, cost, model, empowerment, layer | |
| Robert Lagerström | KTH Royal Institute of Technology | 5.01 | architecture, enterprise, systems, analysis, modifiability, cost, metamodel, management, probabilistic, visualizing | |
| Hannes Holm | KTH Royal Institute of Technology | 4.36 | attacks, vulnerability, expert, system, empirical, application, investigation, security, web, scanning | |
| Thomas Olsson | RISE Research Institutes of Sweden AB | 4.17 | reconfigurable, time, making, requirements, quality, companies, language, decision, gqm, validation | |
| Mariam Kamkar | Linköping University | 4.09 | slicing, dynamic, interprocedural, program, debugging, programs, algorithmic, testing, applied, front | |
| Ludwik Kuzniarz | Blekinge Institute of Technology | 4.06 | uml, models, model, multimedia, development, teaching, ontologies, modeling, stereotypes, object | |
| Francis Palma | Linneaus Univerity | 4.06 | detection, antipatterns, specification, patterns, soa, process, linguistic, prioritization, restful, test | |
| Imed Hammouda | Chalmers / Gothenburg University | 4.01 | open, source, patterns, concern, design, pattern, development, uml, sustainable, systems | |
| Jonas Lundberg | Linneaus Univerity | 3.92 | analysis, resilience, design, points, response, designing, management, precise, traffic, cognitive | |
| Gul Calikli | Chalmers / Gothenburg University | 3.91 | confirmation, bias, effects, analysis, levels, aspects, affecting, modeling, company, human | |
| Ulrik Franke | RISE Research Institutes of Sweden AB | 3.88 | enterprise, architecture, insurance, analysis, cyber, service, availability, framework, models, bayesian | |
| Kenneth Lind | Chalmers / Gothenburg University | 3.86 | size, estimation, components, embedded, real, automated, time, code, compsize, model | |
| Deepika Badampudi | Blekinge Institute of Technology | 3.83 | systematic, translation, knowledge, making, literature, decision, considerations, selection, perspectives, asset | |
| Birgitta Lindström | Skövde University | 3.83 | mutants, mutation, time, subsuming, test, systems, aspect, testability, strong, models | |
| Jan-Philipp Steghöfer | Chalmers / Gothenburg University | 3.81 | systems, self, open, agile, organising, scrum, die, computing, organic, management | |
| Javier Gonzalez-Huerta | Blekinge Institute of Technology | 3.67 | architecture, derivation, product, validating, models, multimodel, model, improvement, automatic, opportunities | |
| Ana Magazinius | RISE Research Institutes of Sweden AB | 3.64 | cost, estimation, feature, investigating, distortions, bounty, intentional, organizational, effort, behaviors | |
| Kristian Sandahl | Linköping University | 3.53 | knowledge, inspections, expert, requirements, extended, methods, systems, participation, active, replication | |
| Patrik Berander | Malmö University | 3.47 | requirements, prioritization, hierarchical, hierarchies, voting, cumulative, ways, process, efficient, hcv | |
| Pasqualina Potena | RISE Research Institutes of Sweden AB | 3.37 | tradeoff, optimization, directions, attributes, composition, service, architecture, systems, functional, quality | |
| Görel Hedin | Lund University | 3.23 | attribute, grammars, programming, object, jastadd, preface, extreme, system, incremental, door | |
| Narges Khakpour | Linneaus Univerity | 2.93 | systems, self, adaptive, formal, behavioral, modeling, policy, security, structural, policies | |
| Niklas Lavesson | Jönköping University | 2.89 | learning, license, user, end, agreements, spyware, distance, social, methods, machine | |
| Jonas Gamalielsson | Skövde University | 2.64 | open, source, standards, biological, editorship, alignment, digital, ontology, w3c, gene | |
| Christin Lindholm | Lund University | 2.57 | risk, development, device, analysis, medical, process, management, involving, usability, planning | |
| Michael Mattsson | Blekinge Institute of Technology | 2.57 | framework, industrial, causes, stability, frameworks, application, experience, paper, evolving, solutions | |
| Francisco Gomes de Oliveira Neto | Chalmers / Gothenburg University | 2.55 | test, empirical, testing, support, state, automatic, system, automotive, full, reproducibility | |
| Jelena Zdravkovic | Stockholm University | 2.49 | business, capability, requirements, modeling, service, processes, organizations, services, frameworks, process | |
| Cyrille Artho | KTH Royal Institute of Technology | 2.48 | model, checking, testing, analysis, networked, test, java, static, systems, efficient | |
| Saad Mubeen | Mälardalen University | 1.86 | analysis, time, systems, end, embedded, response, timing, component, distributed, vehicular | |
| Francesco Flammini | Linneaus Univerity | 1.74 | systems, surveillance, security, critical, modelling, physical, infrastructures, sensor, multiformalism, computer | |
| Niklas Mellegård | RISE Research Institutes of Sweden AB | 1.36 | defect, automotive, improving, embedded, industrial, weight, classification, efficiency, process, light | |
| Daniel Flemström | Mälardalen University | 1.33 | test, passive, interactive, assertions, guarded, reuse, system, overlap, natural, similarity | |
| Peter Wallin | RISE Research Institutes of Sweden AB | 1.29 | issues, system, related, development, mitigation, automotive, line, vehicles, architecting, product | |
| Stefan Cedergren | RISE Research Institutes of Sweden AB | 1.0 | products, development, performance, evaluating |
| 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. (Journal of Systems and Software) 2013: Systematic literature reviews in software engineering. (Information & Software Technology) 2013: On the reliability of mapping studies in software engineering. (Journal of Systems and Software) 2011: Taking novelty to a new level. (Information & Software Technology) 2009: An analysis of the most cited articles in software engineering journals – 2002. (Information & Software Technology) 2008: An analysis of the most cited articles in software engineering journals – 2001. (Information & Software Technology) 2007: Most cited journal articles in software engineering. (Information & Software Technology) 2007: An analysis of the most cited articles in software engineering journals – 2000. (Information & Software Technology) 2005: Most cited journal articles in software engineering. (Information & Software Technology) 2005: An analysis of the most cited articles in software engineering journals – 1999. (Information & Software Technology) 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. (Information & Software Technology) 1999: Strategies for industrial relevance in software engineering education. (Journal of Systems and Software) 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 | 52.87 | 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. (Journal of Systems and Software) 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. (Journal of Systems and Software) 2003: Software architecture – Engineering quality attributes. (Journal of Systems and Software) 1999: Superimposition: a component adaptation technique. (Information & Software Technology) | |
| Per Runeson | Lund University | 36.28 | 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) | |
| Emilia Mendes | Blekinge Institute of Technology | 35.96 | 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. (Journal of Systems and Software) 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. (Journal of Systems and Software) 2003: A Comparative Study of Cost Estimation Models for Web Hypermedia Applications. (Empirical Software Engineering) 1998: Reusability and maintainability in hypermedia applications for education. (Information & Software Technology) | |
| Tony Gorschek | Blekinge Institute of Technology | 27.62 | 2014: On the use of software design models in software development practice: An empirical investigation. (Journal of Systems and Software) 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. (Information & Software Technology) 2007: A controlled empirical evaluation of a requirements abstraction model. (Information & Software Technology) 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 | 26.04 | 2010: Links between the personalities, views and attitudes of software engineers. (Information & Software Technology) | |
| Benoit Baudry | KTH Royal Institute of Technology | 24.54 | 2005: Measuring design testability of a UML class diagram. (Information & Software Technology) 2005: From genetic to bacteriological algorithms for mutation-based testing. (Softw. Test., Verif. Reliab.) | |
| Björn Regnell | Lund University | 22.73 | 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. (Journal of Systems and Software) | |
| Krzysztof Wnuk | Blekinge Institute of Technology | 20.94 | 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. (Information & Software Technology) 2013: Obsolete software requirements. (Information & Software Technology) 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 | 20.8 | 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. (Information & Software Technology) 2014: Integrating risk-based testing in industrial test processes. (Software Quality Journal) | |
| Martin Monperrus | KTH Royal Institute of Technology | 18.75 | 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) | |
| Miroslaw Staron | Chalmers / Gothenburg University | 18.74 | 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. (Journal of Systems and Software) 2012: Critical role of measures in decision processes: Managerial and technical measures in the context of large software development organizations. (Information & Software Technology) 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. (Information & Software Technology) 2009: A framework for developing measurement systems and its industrial evaluation. (Information & Software Technology) 2008: Predicting weekly defect inflow in large software projects based on project planning and test status. (Information & Software Technology) 2006: Empirical assessment of using stereotypes to improve comprehension of UML models: A set of experiments. (Journal of Systems and Software) | |
| Martin Höst | Lund University | 17.82 | 2011: A systematic review of research on open source software in commercial software product development. (Information & Software Technology) 2001: Exploring bottlenecks in market-driven requirements management processes with discrete event simulation. (Journal of Systems and Software) 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. (Journal of Systems and Software) 1997: A subjective effort estimation experiment. (Information & Software Technology) | |
| Jürgen Börstler | Blekinge Institute of Technology | 17.57 | 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. (Information & Software Technology) | |
| 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. (Information & Software Technology) 2007: Six years of evaluating software architectures in student projects. (Journal of Systems and Software) 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. (Information & Software Technology) 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. (Journal of Systems and Software) 2002: Challenges of component-based development. (Journal of Systems and Software) | |
| Daniel Méndez Fernández | Blekinge Institute of Technology | 16.14 | 2019: The open science initiative of the Empirical Software Engineering journal. (Empirical Software Engineering) 2019: Empirical software engineering: From discipline to interdiscipline. (Journal of Systems and Software) 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. (Information & Software Technology) 2015: Artefact-based requirements engineering: the AMDiRE approach. (Requir. Eng.) 2012: Field study on requirements engineering: Investigation of artefacts, project parameters, and execution strategies. (Information & Software Technology) | |
| Raffaela Mirandola | Mälardalen University | 15.5 | 2014: A reliability model for Service Component Architectures. (Journal of Systems and Software) | |
| Darja Smite | Blekinge Institute of Technology | 15.23 | 2017: Software teams and their knowledge networks in large-scale software development. (Information & Software Technology) 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. (Journal of Systems and Software) 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. (Information & Software Technology) 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) | |
| Richard Torkar | Chalmers / Gothenburg University | 11.76 | 2012: Requirements Traceability: a Systematic Review and Industry Case Study. (International Journal of Software Engineering and Knowledge Engineering) | |
| Patrizio Pelliccione | Chalmers / Gothenburg University | 11.25 | 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. (Journal of Systems and Software) | |
| Markus Borg | RISE Research Institutes of Sweden AB | 11.17 | 2019: Selecting component sourcing options: A survey of software engineering’s broader make-or-buy decisions. (Information & Software Technology) 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) | |
| Eric Knauss | Chalmers / Gothenburg University | 11.05 | 2018: Continuous clarification and emergent requirements flows in open-commercial software ecosystems. (Requir. Eng.) 2015: Patterns of continuous requirements clarification. (Requir. Eng.) | |
| 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. (Information & Software Technology) 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.) | |
| Wasif Afzal | Mälardalen University | 10.87 | 2016: Software test process improvement approaches: A systematic literature review and an industrial case study. (Journal of Systems and Software) 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. (Information & Software Technology) | |
| 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. (Information & Software Technology) 2011: Software product line testing – A systematic mapping study. (Information & Software Technology) 2010: A systematic review on regression test selection techniques. (Information & Software Technology) | |
| 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. (Journal of Systems and Software) 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. (Information & Software Technology) 2018: Reliability of search in systematic reviews: Towards a quality assessment framework for the automated-search strategy. (Information & Software Technology) 2016: FLOW-assisted value stream mapping in the early phases of large-scale software development. (Journal of Systems and Software) 2015: Evaluation of simulation-assisted value stream mapping for software product development: Two industrial cases. (Information & Software Technology) 2014: A systematic literature review on the industrial use of software process simulation. (Journal of Systems and Software) | |
| 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. (Information & Software Technology) 2016: A multi-case study of agile requirements engineering and the use of test cases as requirements. (Information & Software Technology) 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. (Information & Software Technology) | |
| Björn Lundell | Skövde University | 8.25 | 2011: Practitioner perceptions of Open Source software in the embedded systems area. (Journal of Systems and Software) 2004: Changing perceptions of CASE technology. (Journal of Systems and Software) | |
| Regina Hebig | Chalmers / Gothenburg University | 7.7 | 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.) | |
| Philipp Leitner | Chalmers / Gothenburg University | 7.64 | 2019: A mixed-method empirical study of Function-as-a-Service software development in industrial practice. (Journal of Systems and Software) | |
| Fabian Fagerholm | Blekinge Institute of Technology | 7.58 | 2018: Designing and implementing an environment for software start-up education: Patterns and anti-patterns. (Journal of Systems and Software) 2017: The RIGHT model for Continuous Experimentation. (Journal of Systems and Software) 2015: Performance Alignment Work: How software developers experience the continuous adaptation of team performance in Lean and Agile environments. (Information & Software Technology) | |
| Jennifer Horkoff | Chalmers / Gothenburg University | 7.53 | 2019: Creative goal modeling for innovative requirements. (Information & Software Technology) 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.) | |
| Davide Fucci | Blekinge Institute of Technology | 7.34 | 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. (Information & Software Technology) 2014: On the role of tests in test-driven development: a differentiated and partial replication. (Empirical Software Engineering) | |
| Pontus Johnson | KTH Royal Institute of Technology | 7.26 | 2016: The Tarpit – A general theory of software engineering. (Information & Software Technology) | |
| Welf Löwe | Linneaus Univerity | 7.2 | 2005: Rapid Construction of Software Comprehension Tools. (International Journal of Software Engineering and Knowledge Engineering) | |
| Panagiota Chatzipetrou | Örebro University | 6.88 | 2015: A multivariate statistical framework for the analysis of software effort phase distribution. (Information & Software Technology) 2015: An experience-based framework for evaluating alignment of software quality goals. (Software Quality Journal) | |
| Riccardo Scandariato | Chalmers / Gothenburg University | 6.83 | 2015: A descriptive study of Microsoft’s threat modeling technique. (Requir. Eng.) 2014: Predicting Vulnerable Software Components via Text Mining. (IEEE Trans. Software Eng.) | |
| Jakob Axelsson | RISE Research Institutes of Sweden AB | 6.73 | 2016: Quality assurance in software ecosystems: A systematic literature mapping and research agenda. (Journal of Systems and Software) 2014: Characteristics of software ecosystems for Federated Embedded Systems: A case study. (Information & Software Technology) | |
| Birgit Penzenstadler | Chalmers / Gothenburg University | 6.73 | 2018: Sustainability analysis and ease of learning in artifact-based requirements engineering: The newest member of the family of studies (It’s a girl!). (Information & Software Technology) | |
| Thorsten Berger | Chalmers / Gothenburg University | 6.47 | 2014: Variability mechanisms in software ecosystems. (Information & Software Technology) 2013: A Study of Variability Models and Languages in the Systems Software Domain. (IEEE Trans. Software Eng.) | |
| Peter Fritzson | Linköping University | 6.33 | 1994: Using assertions in declarative and operational models for automated debugging. (Journal of Systems and Software) 1983: Symbolic debugging through incremental compilation in an integrated environment. (Journal of Systems and Software) | |
| 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. (Information & Software Technology) 2015: Visual GUI testing in practice: challenges, problemsand limitations. (Empirical Software Engineering) | |
| Federico Ciccozzi | Mälardalen University | 5.4 | 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. (Journal of Systems and Software) 2013: Round-trip support for extra-functional property management in model-driven engineering of embedded systems. (Information & Software Technology) | |
| Helena Holmström Olsson | Malmö University | 5.2 | 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 | 5.01 | 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. (Journal of Systems and Software) 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. (Information & Software Technology) | |
| Thomas Olsson | RISE Research Institutes of Sweden AB | 4.17 | 2019: An empirical study on decision making for quality requirements. (Journal of Systems and Software) | |
| Mariam Kamkar | Linköping University | 4.09 | 1998: Application of program slicing in algorithmic debugging. (Information & Software Technology) 1995: An overview and comparative classification of program slicing techniques. (Journal of Systems and Software) | |
| Ludwik Kuzniarz | Blekinge Institute of Technology | 4.06 | 2011: Empirical extension of a classification framework for addressing consistency in model based development. (Information & Software Technology) | |
| Francis Palma | Linneaus Univerity | 4.06 | 2019: UniDoSA: The Unified Specification and Detection of Service Antipatterns. (IEEE Trans. Software Eng.) | |
| Imed Hammouda | Chalmers / Gothenburg University | 4.01 | 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.) | |
| Jonas Lundberg | Linneaus Univerity | 3.92 | 2009: Fast and precise points-to analysis. (Information & Software Technology) | |
| Gul Calikli | Chalmers / Gothenburg University | 3.91 | 2015: Empirical analysis of factors affecting confirmation bias levels of software engineers. (Software Quality Journal) | |
| Ulrik Franke | RISE Research Institutes of Sweden AB | 3.88 | 2012: Availability of enterprise IT systems: an expert-based Bayesian framework. (Software Quality Journal) | |
| Kenneth Lind | Chalmers / Gothenburg University | 3.86 | 2012: A Practical Approach to Size Estimation of Embedded Software Components. (IEEE Trans. Software Eng.) | |
| Deepika Badampudi | Blekinge Institute of Technology | 3.83 | 2018: A decision-making process-line for selection of software asset origins and components. (Journal of Systems and Software) 2016: Software component decision-making: In-house, OSS, COTS or outsourcing – A systematic literature review. (Journal of Systems and Software) | |
| 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. (Information & Software Technology) | |
| Jan-Philipp Steghöfer | Chalmers / Gothenburg University | 3.81 | 2017: No silver brick: Opportunities and limitations of teaching Scrum with Lego workshops. (Journal of Systems and Software) | |
| Javier Gonzalez-Huerta | Blekinge Institute of Technology | 3.67 | 2015: Validating a model-driven software architecture evaluation and improvement method: A family of experiments. (Information & Software Technology) | |
| Ana Magazinius | RISE Research Institutes of Sweden AB | 3.64 | 2012: Investigating intentional distortions in software cost estimation – An exploratory study. (Journal of Systems and Software) 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. (Journal of Systems and Software) 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. (Journal of Systems and Software) | |
| Görel Hedin | Lund University | 3.23 | 2005: Teaching extreme programming to large groups of students. (Journal of Systems and Software) | |
| Narges Khakpour | Linneaus Univerity | 2.93 | 2012: HPobSAM for modeling and analyzing IT Ecosystems – Through a case study. (Journal of Systems and Software) | |
| Niklas Lavesson | Jönköping University | 2.89 | 2014: A method for evaluation of learning components. (Autom. Softw. Eng.) | |
| Jonas Gamalielsson | Skövde University | 2.64 | 2015: On organisational influences in software standards and their open source implementations. (Information & Software Technology) 2014: Sustainability of Open Source software communities beyond a fork: How and why has the LibreOffice project evolved? (Journal of Systems and Software) | |
| 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) | |
| Francisco Gomes de Oliveira Neto | Chalmers / Gothenburg University | 2.55 | 2019: Evolution of statistical analysis in empirical software engineering research: Current state and steps forward. (Journal of Systems and Software) 2016: Full modification coverage through automatic similarity-based test case selection. (Information & Software Technology) | |
| Jelena Zdravkovic | Stockholm University | 2.49 | 2015: Capturing consumer preferences as requirements for software product lines. (Requir. Eng.) | |
| Cyrille Artho | KTH Royal Institute of Technology | 2.48 | 2003: High-level data races. (Softw. Test., Verif. Reliab.) | |
| Saad Mubeen | Mälardalen University | 1.86 | 2015: Integrating mixed transmission and practical limitations with the worst-case response-time analysis for Controller Area Network. (Journal of Systems and Software) | |
| Francesco Flammini | Linneaus Univerity | 1.74 | 2009: Automatic instantiation of abstract tests on specific configurations for large critical control systems. (Softw. Test., Verif. Reliab.) | |
| 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. (Information & Software Technology) | |
| Stefan Cedergren | RISE Research Institutes of Sweden AB | 1.0 | 2014: Evaluating performance in the development of software-intensive products. (Information & Software Technology) |
| 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 | 328 | 0.13 | 0.31 | 12.55 | 52.87 | |
| Per Runeson | Lund University | 141 | 0.29 | 0.21 | 8.7 | 36.28 | |
| Emilia Mendes | Blekinge Institute of Technology | 171 | 0.17 | 0.4 | 11.52 | 35.96 | |
| Tony Gorschek | Blekinge Institute of Technology | 110 | 0.47 | 0.13 | 11.18 | 27.62 | |
| Robert Feldt | Chalmers / Gothenburg University | 118 | 0.31 | 0.14 | 5.32 | 26.04 | |
| Benoit Baudry | KTH Royal Institute of Technology | 185 | 0.14 | 0.12 | 5.99 | 24.54 | |
| Björn Regnell | Lund University | 88 | 0.33 | 0.18 | 6.19 | 22.73 | |
| Krzysztof Wnuk | Blekinge Institute of Technology | 89 | 0.21 | 0.31 | 7.1 | 20.94 | |
| Michael Felderer | Blekinge Institute of Technology | 161 | 0.1 | 0.31 | 7.55 | 20.8 | |
| Martin Monperrus | KTH Royal Institute of Technology | 85 | 0.24 | 0.19 | 5.35 | 18.75 | |
| Miroslaw Staron | Chalmers / Gothenburg University | 121 | 0.12 | 0.37 | 9.76 | 18.74 | |
| Martin Höst | Lund University | 93 | 0.18 | 0.22 | 6.96 | 17.82 | |
| Jürgen Börstler | Blekinge Institute of Technology | 74 | 0.2 | 0.38 | 4.79 | 17.57 | |
| 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 | 74 | 0.19 | 0.31 | 7.4 | 16.14 | |
| Raffaela Mirandola | Mälardalen University | 155 | 0.1 | 0.1 | 3.8 | 15.5 | |
| 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 | |
| Richard Torkar | Chalmers / Gothenburg University | 61 | 0.36 | 0.1 | 3.49 | 11.76 | |
| Patrizio Pelliccione | Chalmers / Gothenburg University | 125 | 0.12 | 0.06 | 4.4 | 11.25 | |
| Markus Borg | RISE Research Institutes of Sweden AB | 55 | 0.16 | 0.44 | 4.96 | 11.17 | |
| Eric Knauss | Chalmers / Gothenburg University | 93 | 0.09 | 0.33 | 3.45 | 11.05 | |
| 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 | |
| Wasif Afzal | Mälardalen University | 56 | 0.18 | 0.23 | 5.96 | 10.87 | |
| 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 | |
| Elizabeth Bjarnason | Lund University | 30 | 0.23 | 0.7 | 6.33 | 8.89 | |
| Björn Lundell | Skövde University | 70 | 0.09 | 0.31 | 3.04 | 8.25 | |
| Regina Hebig | Chalmers / Gothenburg University | 54 | 0.11 | 0.35 | 2.88 | 7.7 | |
| Philipp Leitner | Chalmers / Gothenburg University | 113 | 0.05 | 0.23 | 2.57 | 7.64 | |
| Fabian Fagerholm | Blekinge Institute of Technology | 40 | 0.15 | 0.4 | 3.64 | 7.58 | |
| Jennifer Horkoff | Chalmers / Gothenburg University | 90 | 0.06 | 0.4 | 4.95 | 7.53 | |
| Davide Fucci | Blekinge Institute of Technology | 37 | 0.16 | 0.38 | 3.61 | 7.34 | |
| 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 | |
| Panagiota Chatzipetrou | Örebro University | 17 | 0.35 | 0.59 | 2.51 | 6.88 | |
| Riccardo Scandariato | Chalmers / Gothenburg University | 64 | 0.09 | 0.17 | 2.98 | 6.83 | |
| Jakob Axelsson | RISE Research Institutes of Sweden AB | 60 | 0.08 | 0.57 | 2.85 | 6.73 | |
| Birgit Penzenstadler | Chalmers / Gothenburg University | 95 | 0.05 | 0.43 | 2.3 | 6.73 | |
| Thorsten Berger | Chalmers / Gothenburg University | 71 | 0.07 | 0.23 | 2.96 | 6.47 | |
| Peter Fritzson | Linköping University | 116 | 0.04 | 0.2 | 3.41 | 6.33 | |
| Emil Alégroth | Blekinge Institute of Technology | 26 | 0.19 | 0.54 | 3.41 | 6.3 | |
| Federico Ciccozzi | Mälardalen University | 64 | 0.06 | 0.45 | 3.7 | 5.4 | |
| Helena Holmström Olsson | Malmö University | 92 | 0.04 | 0.33 | 2.18 | 5.2 | |
| Robert Lagerström | KTH Royal Institute of Technology | 73 | 0.05 | 0.27 | 4.69 | 5.01 | |
| 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 | |
| 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 | |
| Imed Hammouda | Chalmers / Gothenburg University | 71 | 0.04 | 0.32 | 2.78 | 4.01 | |
| Jonas Lundberg | Linneaus Univerity | 57 | 0.05 | 0.28 | 1.74 | 3.92 | |
| Gul Calikli | Chalmers / Gothenburg University | 25 | 0.12 | 0.4 | 1.42 | 3.91 | |
| Ulrik Franke | RISE Research Institutes of Sweden AB | 68 | 0.04 | 0.38 | 1.85 | 3.88 | |
| Kenneth Lind | Chalmers / Gothenburg University | 12 | 0.25 | 0.75 | 1.29 | 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 | |
| Jan-Philipp Steghöfer | Chalmers / Gothenburg University | 68 | 0.04 | 0.28 | 1.85 | 3.81 | |
| 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 | |
| Narges Khakpour | Linneaus Univerity | 19 | 0.11 | 0.79 | 1.27 | 2.93 | |
| Niklas Lavesson | Jönköping University | 52 | 0.04 | 0.25 | 1.6 | 2.89 | |
| Jonas Gamalielsson | Skövde University | 31 | 0.06 | 0.52 | 2.29 | 2.64 | |
| 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 | |
| Francisco Gomes de Oliveira Neto | Chalmers / Gothenburg University | 11 | 0.18 | 0.55 | 2.09 | 2.55 | |
| Jelena Zdravkovic | Stockholm University | 86 | 0.02 | 0.28 | 1.94 | 2.49 | |
| Cyrille Artho | KTH Royal Institute of Technology | 84 | 0.02 | 0.55 | 1.92 | 2.48 | |
| Saad Mubeen | Mälardalen University | 63 | 0.02 | 0.63 | 1.62 | 1.86 | |
| Francesco Flammini | Linneaus Univerity | 40 | 0.03 | 0.42 | 1.39 | 1.74 | |
| 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 | |
| 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
- 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
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”.