Directory of Experts

Lamothe, Maxime

Directory of Experts

Lamothe, Maxime

Directory of Experts

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Journal article (13) Conference paper (9) Book Book chapter Patent Report Thesis Dataset (3) Teaching resource Image Audio recording Video recording Other

Maxime Lamothe (25)

Journal articles (13)
- 2024
  - 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).
  - 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).
  - 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).
  - 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.
  - 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
  - Meidani, M., Lamothe, M., & McIntosh, S. (2023). Assessing the exposure of software changes: The DiPiDi approach. Empirical Software Engineering, 28(2), 36 pages.
  - Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (2023). Online appendix. Zenodo (CERN European Organization for Nuclear Research).
- 2022
  - 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.
  - 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.
  - 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
  - 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).
  - Lamothe, M., Gueheneuc, Y. G., & Shang, W. (2021). A Systematic Review of API Evolution Literature. ACM Computing Surveys, 54(8), 1-36.
  - 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).
Conference papers (9)
- 2024
  - Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (2024, April). A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase [Paper]. 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR 2024), Lisbon, Portugal.
- 2022
  - Kazemi, F., Lamothe, M., & McIntosh, S. (2022, October). Exploring the Notion of Risk in Code Reviewer Recommendation [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus.
  - Wen, R., Lamothe, M., & McIntosh, S. (2022, May). How does code reviewing feedback evolve?: A longitudinal study at Dell EMC [Paper]. IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE 2022), Pittsburgh, PA, USA.
  - Wen, R., Lamothe, M., & McIntosh, S. (2022, May). How Does Code Reviewing Feedback Evolve?: A Longitudinal Study at Dell EMC [Paper]. IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP 2022), Pittsburgh, PA, USA.
  - Gallaba, K., Lamothe, M., & McIntosh, S. (2022, May). Lessons from eight years of operational data from a continuous integration service: An exploratory case study of CircleCI [Paper]. IEEE/ACM 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA.
- 2021
  - Gauthier, I. X., Lamothe, M., Mussbacher, G., & McIntosh, S. (2021, November). Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? : AA Case Study of the Gerrit Community [Paper]. 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), Melbourne, Australia.
- 2020
  - Lamothe, M. (2020, June). Bridging the divide between API users and API developers by mining public code repositories [Paper]. 42nd ACM/IEEE International Conference on Software Engineering, Seoul, South Korea.
  - Lamothe, M., & Shang, W. (2020, June). When APIs are intentionally bypassed [Paper]. 42nd ACM/IEEE International Conference on Software Engineering, Seoul, South Korea.
- 2018
  - Lamothe, M., & Shang, W. (2018, May). Exploring the use of automated API migrating techniques in practice [Paper]. 15th International Conference on Mining Software Repositories, Gothenburg, Sweden.
Datasets (3)
- 2024
  - Kazemi, F., Lamothe, M., & McIntosh, S. (2024). Replication Package and Online Appendix for "Characterizing the impact, distribution, and duration of stale reviewer recommendations" [Dataset].
- 2023
  - Ghadesi, A., Li, H., & Lamothe, M. (2023). What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow [Dataset].
- 2022
  - Kazemi, F., Lamothe, M., & McIntosh, S. (2022). Dataset of the study "Exploring the Notion of Risk in Reviewer Recommendation" [Dataset].

Directory of Experts

Lamothe, Maxime

Directory of Experts

Lamothe, Maxime

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Maxime Lamothe (25)