Follow
Maxime Lamothe
Title
Cited by
Cited by
Year
A systematic review of API evolution literature
M Lamothe, YG Guéhéneuc, W Shang
ACM Computing Surveys (CSUR) 54 (8), 1-36, 2021
562021
A3: Assisting Android API Migrations Using Code Examples
M Lamothe, W Shang, THP Chen
IEEE Transactions on Software Engineering, 2020
52*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
332018
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
212020
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
202022
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
162021
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
62021
Studying logging practice in test code
H Zhang, Y Tang, M Lamothe, H Li, W Shang
Empirical Software Engineering 27 (4), 83, 2022
52022
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
52021
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
42020
Assessing the exposure of software changes: The DiPiDi approach
M Meidani, M Lamothe, S McIntosh
Empirical Software Engineering 28 (2), 41, 2023
32023
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
32021
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
22022
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
22022
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
12024
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
12023
Mining Action Rules for Defect Reduction Planning
K Oueslati, G Laberge, M Lamothe, F Khomh
arXiv preprint arXiv:2405.13740, 2024
2024
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
The system can't perform the operation now. Try again later.
Articles 1–20