Markus Borg

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Per RunesonProfessor of Software Engineering, Lund University, SwedenVerified email at cs.lth.se
Krzysztof WnukSoftware Engineering, Blekinge Institute of Technology (BTH), SERL-SwedenVerified email at bth.se
Elizabeth BjarnasonDepartment of Computer Science, Lund UniversityVerified email at cs.lth.se
Michael UnterkalmsteinerSenior Lecturer in Software Engineering, Blekinge Institute of Technology, SERL-SwedenVerified email at bth.se
Prof. Dr. Tony GorschekBlekinge Institute of Technology, SERL-SwedenVerified email at bth.se
Emelie EngströmLund UniversityVerified email at cs.lth.se
Cristofer EnglundRISE Viktoria & Halmstad UniversityVerified email at ri.se
Thomas OlssonRISE Research Institutes of SwedenVerified email at ri.se
Björn LisperProfessor of Computer Engineering, Mälardalen UniversityVerified email at mdh.se
Mehrdad SaadatmandSenior Researcher at RISE Research Institutes of Sweden (RISE SICS)Verified email at ri.se
Markus BohlinProfessor of Computer Science, Mälardalen UniversityVerified email at mdh.se
Jose Luis de la VaraSenior Researcher, Ramon y Cajal Fellow, University of Castilla-La Mancha, SpainVerified email at uclm.es
Sigrid EldhAdj. Prof. (Carleton Uni.) PhD. Researcher at Ericsson AB,Verified email at ericsson.com
Bjorn RegnellProfessor of Software Engineering, Lund University, SwedenVerified email at cs.lth.se
Saïd AssarProfessor in Information Systems, Institut Mines Telecom Business SchoolVerified email at imt-bs.eu
Efi PapatheocharousRISE SICSVerified email at ri.se
Mahshid Helali MoghadamRISE Research Institutes of Sweden | Mälardalen UniversityVerified email at ri.se
Robert FeldtProfessor of Software Engineering, Chalmers University & Blekinge Institute of TechnologyVerified email at chalmers.se
Annabella LoconsoleAssistant professor of Computer Science, Malmö UniversityVerified email at mah.se
Dietmar PfahlUniversity of Tartu, EstoniaVerified email at ut.ee

Markus Borg

Senior Researcher, RISE Research Instititutes of Sweden

Verified email at ri.se - Homepage

Software Engineering Machine Learning Safety Engineering AI Quality Software Testing


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Recovering from a Decade: A Systematic Mapping of Information Retrieval Approaches to Software Traceability M Borg, P Runeson, A Ardö Empirical Software Engineering 19 (6), 1565-1616, 2014	159	2014
Challenges and Practices in Aligning Requirements with Verification and Validation: A Case Study of Six Companies E Bjarnason, P Runeson, M Borg, M Unterkalmsteiner, E Engström, ... Empirical Software Engineering 19 (6), 1809-1855, 2014	113	2014
Automated Bug Assignment: Ensemble-based Machine Learning in Large Scale Industrial Contexts L Jonsson, M Borg, D Broman, K Sandahl, S Eldh, P Runeson Empirical Software Engineering 21 (4), 1533-1578, 2016	101	2016
An Industrial Survey of Safety Evidence Change Impact Analysis Practice J de la Vara, M Borg, K Wnuk, L Moonen IEEE Transactions on Software Engineering 42 (12), 1095-1117, 2016	60	2016
A Multi-Case Study of Agile Requirements Engineering and the Use of Test Cases as Requirements E Bjarnason, M Unterkalmsteiner, M Borg, E Engström Information and Software Technology 77, Pages 61–79, 2016	50	2016
Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry M Borg, C Englund, K Wnuk, B Duran, C Levandowski, S Gao, Y Tan, ... Journal of Automotive Software Engineering 1 (1), 1-19, 2019	47	2019
Supporting Change Impact Analysis Using a Recommendation System: An Industrial Case Study in a Safety-critical Context M Borg, K Wnuk, B Regnell, P Runeson IEEE Transactions on Software Engineering 43 (7), 675-700, 2017	41	2017
Requirements Engineering for Machine Learning: Perspectives From Data Scientists A Vogelsang, M Borg 6th International Workshop on Artificial Intelligence for Requirements …, 2019	33	2019
Enabling Traceability Reuse for Impact Analyses: A Feasibility Study in a Safety Context M Borg, OCZ Gotel, K Wnuk 7th International Workshop on Traceability in Emerging Forms of Software …, 2013	31	2013
SZZ Unleashed: An Open Implementation of the SZZ Algorithm - Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project M Borg, O Svensson, K Berg, D Hansson 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for …, 2019	28	2019
Conflict Management in Student Groups: A Teacher's Perspective in Higher Education M Borg, J Kembro, J Notander, C Petersson, L Ohlsson Högre utbildning 1 (2), 111-124, 2011	25	2011
An Industrial Case Study on Test Cases as Requirements E Bjarnason, M Unterkalmsteiner, E Engström, M Borg 16th International Conference on Agile Software Development (XP), 2015	23	2015
A Replicated Study on Duplicate Detection: Using Apache Lucene to Search among Android Defects M Borg, P Runeson, J Johansson, MV Mäntylä 8th International Symposium on Empirical Software Engineering and Measurement, 8, 2014	21	2014
Automotive Safety and Machine Learning: Initial Results From a Study on How to Adapt the ISO 26262 Safety Standard J Henriksson, M Borg, C Englund Proceedings of the 1st International Workshop on Software Engineering for AI …, 2018	20	2018
Changes, Evolution, and Bugs - Recommendation Systems for Issue Management M Borg, P Runeson Recommendation Systems in Software Engineering, 477-509, 2014	20	2014
Development of Safety-Critical Software Systems Using Open Source Software: A Systematic Map SM Sulaman, A Orucevic-Alagic, M Borg, K Wnuk, M Höst, ... Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2014	19	2014
Using Text Clustering to Predict Defect Resolution Time: A Conceptual Replication and an Evaluation of Prediction Accuracy S Assar, M Borg, D Pfahl Empirical Software Engineering 21 (4), 1437-1475, 2016	17	2016
Revisiting the Challenges in Aligning RE and V&V: Experiences from the Public Sector J Larsson, M Borg 1st International Workshop on Requirements Engineering and Testing (RET), 4-11, 2014	17	2014
IR in Software Traceability: From a Bird's Eye View M Borg, P Runeson 7th International Symposium on Empirical Software Engineering and …, 2013	17	2013
Machine Learning to Guide Performance Testing: An Autonomous Test Framework MH Moghadam, M Saadatmand, M Borg, M Bohlin, B Lisper 2019 IEEE International Conference on Software Testing, Verification and …, 2019	16	2019

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