| 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 | 207 | 2014 |
| Requirements Engineering for Machine Learning: Perspectives From Data Scientists A Vogelsang, M Borg 6th International Workshop on Artificial Intelligence for Requirements …, 2019 | 173 | 2019 |
| 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 | 167 | 2016 |
| 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 | 153 | 2014 |
| 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 | 134 | 2019 |
| 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 | 95 | 2019 |
| 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 | 93 | 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 | 77 | 2016 |
| 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 | 64 | 2017 |
| 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 | 48 | 2018 |
| 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 | 36 | 2013 |
| Video Game Development in a Rush: A Survey of the Global Game Jam Participants M Borg, V Garousi, A Mahmoud, T Olsson, O Stålberg IEEE Transactions on Games 12 (3), 246-259, 2019 | 35 | 2019 |
| Towards Structured Evaluation of Deep Neural Network Supervisors J Henriksson, C Berger, M Borg, C Englund, L Tornberg, ... IEEE International Conference On Artificial Intelligence Testing (AITest), 2019 | 35 | 2019 |
| Practical Relevance of Software Engineering Research: Synthesizing the Community’s Voice V Garousi, M Borg, M Oivo Empirical Software Engineering, 1-68, 2020 | 33 | 2020 |
| 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 | 32 | 2019 |
| Digitalization of Swedish Government Agencies: A Perspective Through the Lens of a Software Development Census M Borg, T Olsson, U Franke, S Assar IEEE/ACM 40th International Conference on Software Engineering: Software …, 2018 | 30 | 2018 |
| 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 | 29 | 2011 |
| Digital Twins Are Not Monozygotic: Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators M Borg, RB Abdessalem, S Nejati, FX Jegeden, D Shin IEEE International Conference on Software Testing, Verification and Validation, 2021 | 28 | 2021 |
| Changes, Evolution, and Bugs: Recommendation Systems for Issue Management M Borg, P Runeson Recommendation Systems in Software Engineering, 477-509, 2014 | 27 | 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 | 26 | 2016 |
Per RunesonProfessor of Software Engineering, Lund University, SwedenVerified email at cs.lth.se
