Kazemi, F., Lamothe, M., & McIntosh, S. (2024). Characterizing the Prevalence Distribution and Duration of Stale Reviewer Recommendations. IEEE Transactions on Software Engineering, 3422369 (14 pages).
Répertoire des expertises
Lamothe, Maxime
Répertoire des expertises
Lamothe, Maxime
Répertoire des expertises
Publications par type
Article de revue (13)
Communication de conférence (11)
Livre
Chapitre de livre
Brevet
Rapport
Thèse
Ensemble de données (4)
Ressource pédagogique
Image
Enregistrement audio
Enregistrement vidéo
Autre
Maxime Lamothe (28)
- Articles de revue (13)
- 2024
Article de revue Article de revue Robillard, M. P., Arya, D. M., Ernst, N. A., Guo, J. L. C., Lamothe, M., Nassif, M., Novielli, N., Serebrenik, A., Steinmacher, I., & Stol, K.-J. (2024). Communicating Study Design Trade-offs in Software Engineering. ACM Transactions on Software Engineering and Methodology, 33(5), 112 (10 pages).
Article de revue Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (2024). How Trustworthy is Your CI Accelerator? A Comparison of the Trustworthiness of CI Acceleration Products. IEEE Software, 3395616 (6 pages).Article de revue Oueslati, K., Laberge, G., Lamothe, M., & Khomh, F. (2024). Mining Action Rules for Defect Reduction Planning. Proceedings of the ACM on Software Engineering, 1(FSE), 2309-2331.Article de revue Ghadesi, A., Lamothe, M., & Li, H. (2024). What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow. Empirical Software Engineering, 29, 107 (37 pages).
- 2023
Article de revue Meidani, M., Lamothe, M., & McIntosh, S. (2023). Assessing the exposure of software changes: The DiPiDi approach. Empirical Software Engineering, 28(2), 36 pages.Article de revue Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (2023). Online appendix. Zenodo (CERN European Organization for Nuclear Research).
- 2022
Article de revue Lamothe, M., Shang, W., & Chen, T.-H. P. (2022). A3: Assisting Android API Migrations Using Code Examples. IEEE Transactions on Software Engineering, 48(2), 417-431.Article de revue Lamothe, M., Li, H., & Shang, W. (2022). Assisting Example-based API Misuse Detection via Complementary Artificial Examples. IEEE Transactions on Software Engineering, 48(9), 3410-3422.Article de revue Zhang, H., Tang, Y., Lamothe, M., Li, H., & Shang, W. (2022). Studying logging practice in test code. Empirical Software Engineering, 27(4), 83 (45 pages).
- 2021
Article de revue Quach, S., Lamothe, M., Kamei, Y., & Shang, W. (2021). An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs. Empirical Software Engineering, 26(4).Article de revue Lamothe, M., Gueheneuc, Y. G., & Shang, W. (2021). A Systematic Review of API Evolution Literature. ACM Computing Surveys, 54(8), 1-36.Article de revue Quach, S., Lamothe, M., Adams, B., Kamei, Y., & Shang, W. (2021). Evaluating the impact of falsely detected performance bug-inducing changes in JIT models. Empirical Software Engineering, 26(5).
- 2024
- Communications de conférence (11)
- 2025
Communication de conférence Qin, Q., Li, H., Merlo, E., & Lamothe, M. (avril 2025). Automated, Unsupervised, and Auto-Parameterized Inference of Data Patterns and Anomaly Detection [Communication écrite]. 47th International Conference on Software Engineering (ICSE 2025), Ottawa, ON, Canada.Communication de conférence Ekhlasi, M., Prakash, A., Lamothe, M., & Dagenais, M. (avril 2025). InsightAI: Root Cause Analysis in Large Log Files with Private Data Using Large Language Model [Communication écrite]. 4th International Conference on AI Engineering – Software Engineering for AI (CAIN 2025), Ottawa, ON, Canada.Communication de conférence Shahedi, K., Lamothe, M., Khomh, F., & Li, H. (avril 2025). JPerfEvo: A Tool for Tracking Method-Level Performance Changes in Java Projects [Communication écrite]. 22nd International Conference on Mining Software Repositories (MSR 2025), Ottawa, ON, Canada.
- 2024
Communication de conférence Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (avril 2024). A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase [Communication écrite]. 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR 2024), Lisbon, Portugal.
- 2022
Communication de conférence Kazemi, F., Lamothe, M., & McIntosh, S. (octobre 2022). Exploring the Notion of Risk in Code Reviewer Recommendation [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus.Communication de conférence Wen, R., Lamothe, M., & McIntosh, S. (mai 2022). How does code reviewing feedback evolve?: A longitudinal study at Dell EMC [Communication écrite]. IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE 2022), Pittsburgh, PA, USA.Communication de conférence Gallaba, K., Lamothe, M., & McIntosh, S. (mai 2022). Lessons from eight years of operational data from a continuous integration service: An exploratory case study of CircleCI [Communication écrite]. IEEE/ACM 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA.
- 2021
Communication de conférence Gauthier, I. X., Lamothe, M., Mussbacher, G., & McIntosh, S. (novembre 2021). Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? : AA Case Study of the Gerrit Community [Communication écrite]. 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), Melbourne, Australia.
- 2020
Communication de conférence Lamothe, M. (juin 2020). Bridging the divide between API users and API developers by mining public code repositories [Communication écrite]. 42nd ACM/IEEE International Conference on Software Engineering, Seoul, South Korea.Communication de conférence Lamothe, M., & Shang, W. (juin 2020). When APIs are intentionally bypassed [Communication écrite]. 42nd ACM/IEEE International Conference on Software Engineering, Seoul, South Korea.
- 2018
Communication de conférence Lamothe, M., & Shang, W. (mai 2018). Exploring the use of automated API migrating techniques in practice [Communication écrite]. 15th International Conference on Mining Software Repositories, Gothenburg, Sweden.
- 2025
- Ensembles de données (4)
- 2025
Ensemble de données Qin, Q., Li, H., Merlo, E., & Lamothe, M. (2025). Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection [Ensemble de données].
- 2024
Ensemble de données Kazemi, F., Lamothe, M., & McIntosh, S. (2024). Replication Package and Online Appendix for "Characterizing the impact, distribution, and duration of stale reviewer recommendations" [Ensemble de données].
- 2023
Ensemble de données Ghadesi, A., Li, H., & Lamothe, M. (2023). What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow [Ensemble de données].
- 2022
Ensemble de données Kazemi, F., Lamothe, M., & McIntosh, S. (2022). Dataset of the study "Exploring the Notion of Risk in Reviewer Recommendation" [Ensemble de données].
- 2025
