| A systematic review of API evolution literature M Lamothe, YG Guéhéneuc, W Shang ACM Computing Surveys (CSUR) 54 (8), 1-36, 2021 | 85 | 2021 |
| A3: Assisting Android API Migrations Using Code Examples M Lamothe, W Shang, THP Chen IEEE Transactions on Software Engineering, 2020 | 59* | 2020 |
| 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 | 35 | 2018 |
| 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 | 29 | 2022 |
| 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 | 22 | 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 | 21 | 2021 |
| 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 | 11 | 2021 |
| Communicating Study Design Trade-offs in Software Engineering MP Robillard, DM Arya, NA Ernst, JLC Guo, M Lamothe, M Nassif, ... ACM Transactions on Software Engineering and Methodology, 2024 | 9 | 2024 |
| 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 | 8 | 2021 |
| Studying logging practice in test code H Zhang, Y Tang, M Lamothe, H Li, W Shang Empirical Software Engineering 27 (4), 83, 2022 | 7 | 2022 |
| Assessing the exposure of software changes: The dipidi approach M Meidani, M Lamothe, S McIntosh Empirical Software Engineering 28 (2), 41, 2023 | 6 | 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 | 5 | 2022 |
| 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 | 4 | 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 | 4 | 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 |
| What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow A Ghadesi, M Lamothe, H Li Empirical Software Engineering 29 (5), 107, 2024 | 1 | 2024 |
| Mining action rules for defect reduction planning K Oueslati, G Laberge, M Lamothe, F Khomh Proceedings of the ACM on Software Engineering 1 (FSE), 2309-2331, 2024 | 1 | 2024 |
| Characterizing the prevalence distribution and duration of stale reviewer recommendations F Kazemi, M Lamothe, S McIntosh IEEE Transactions on Software Engineering, 2024 | 1 | 2024 |
| A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase Z Zeng, T Xiao, M Lamothe, H Hata, S McIntosh 2024 IEEE/ACM 21st International Conference on Mining Software Repositories …, 2024 | 1 | 2024 |
| Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection Q Qin, H Li, E Merlo, M Lamothe arXiv preprint arXiv:2412.05240, 2024 | | 2024 |
Weiyi ShangAssociate Professor, University of WaterlooVerified email at uwaterloo.ca
