| A3: Assisting Android API Migrations Using Code Examples M Lamothe, W Shang, THP Chen IEEE Transactions on Software Engineering, 2020 | 43* | 2020 |
| A systematic review of API evolution literature M Lamothe, YG Guéhéneuc, W Shang ACM Computing Surveys (CSUR) 54 (8), 1-36, 2021 | 38 | 2021 |
| Exploring the use of automated API migrating techniques in practice: an experience report on android M Lamothe, W Shang Proceedings of the 15th international conference on mining software …, 2018 | 33 | 2018 |
| When apis are intentionally bypassed: An exploratory study of api workarounds M Lamothe, W Shang Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 18 | 2020 |
| Is historical data an appropriate benchmark for reviewer recommendation systems?: A case study of the gerrit community IX Gauthier, M Lamothe, G Mussbacher, S McIntosh 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 8 | 2021 |
| Lessons from eight years of operational data from a continuous integration service: an exploratory case study of CircleCI K Gallaba, M Lamothe, S McIntosh Proceedings of the 44th International Conference on Software Engineering …, 2022 | 7 | 2022 |
| An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs S Quach, M Lamothe, Y Kamei, W Shang Empirical Software Engineering 26 (4), 71, 2021 | 5 | 2021 |
| Bridging the divide between API users and API developers by mining public code repositories M Lamothe Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 4 | 2020 |
| Evaluating the impact of falsely detected performance bug-inducing changes in JIT models S Quach, M Lamothe, B Adams, Y Kamei, W Shang Empirical Software Engineering 26, 1-32, 2021 | 3 | 2021 |
| Studying logging practice in test code H Zhang, Y Tang, M Lamothe, H Li, W Shang Empirical Software Engineering 27 (4), 83, 2022 | 2 | 2022 |
| Assisting Example-Based API Misuse Detection via Complementary Artificial Examples M Lamothe, H Li, W Shang IEEE Transactions on Software Engineering 48 (9), 3410-3422, 2021 | 2 | 2021 |
| Assessing the exposure of software changes: The DiPiDi approach M Meidani, M Lamothe, S McIntosh Empirical Software Engineering 28 (2), 41, 2023 | 1 | 2023 |
| How does code reviewing feedback evolve? a longitudinal study at Dell EMC R Wen, M Lamothe, S McIntosh Proceedings of the 44th International Conference on Software Engineering …, 2022 | 1 | 2022 |
| What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow A Ghadesi, M Lamothe, H Li arXiv preprint arXiv:2304.12857, 2023 | | 2023 |
| Exploring the Notion of Risk in Code Reviewer Recommendation F Kazemi, M Lamothe, S McIntosh 2022 IEEE International Conference on Software Maintenance and Evolution …, 2022 | | 2022 |
| Data and Tool Showcase H Hata, M Wessel, R Abdalkareem, A Abdellatif, A Decan, A Alhefdhi, ... | | |
| Assessing the Exposure of Software Changes M Meidani, M Lamothe, S McIntosh | | |
| Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? IX Gauthier, M Lamothe, G Mussbacher, S McIntosh | | |
Weiyi ShangAssociate Professor, University of WaterlooVerified email at uwaterloo.ca
