A systematic review of API evolution literature M Lamothe, YG Guéhéneuc, W Shang ACM Computing Surveys (CSUR) 54 (8), 1-36, 2021 | 55 | 2021 |
A3: Assisting Android API Migrations Using Code Examples M Lamothe, W Shang, THP Chen IEEE Transactions on Software Engineering, 2020 | 51* | 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 | 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 | 21 | 2020 |
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 | 19 | 2022 |
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 | 16 | 2021 |
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 | 6 | 2021 |
Studying logging practice in test code H Zhang, Y Tang, M Lamothe, H Li, W Shang Empirical Software Engineering 27 (4), 83, 2022 | 5 | 2022 |
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 | 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 |
Assessing the exposure of software changes: The DiPiDi approach M Meidani, M Lamothe, S McIntosh Empirical Software Engineering 28 (2), 41, 2023 | 3 | 2023 |
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 | 3 | 2021 |
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 | 2 | 2022 |
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 | 2 | 2022 |
A Mutation-Guided Assessment of Acceleration Appproaches for Continuous Integration: An Empirical Study of Yourbase Z Zeng, T Xiao, M Lamothe, H Hata, S McIntosh Proc. of the 21st Int’l Conf. on Mining Software Repositories (MSR). To …, 2024 | 1 | 2024 |
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 | 1 | 2023 |
How Trustworthy is Your CI Accelerator? A Comparison of the Trustworthiness of CI Acceleration Products Z Zeng, T Xiao, M Lamothe, H Hata, S McIntosh IEEE Software, 2024 | | 2024 |
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 | | 2024 |
DTraComp: Comparing distributed execution traces for understanding intermittent latency sources M Ekhlasi, FF Daneshgar, M Dagenais, M Lamothe, N Ezzati-Jivan, ... Authorea Preprints, 2023 | | 2023 |
Data and Tool Showcase H Hata, M Wessel, R Abdalkareem, A Abdellatif, A Decan, A Alhefdhi, ... | | |