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Maxime Lamothe
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2020 – today
- 2024
- [j12]Amin Ghadesi
, Maxime Lamothe
What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow. Empir. Softw. Eng. 29(5): 107 (2024) - [j11]Khouloud Oueslati
Mining Action Rules for Defect Reduction Planning. Proc. ACM Softw. Eng. 1(FSE): 2309-2331 (2024) - [j10]Zhili Zeng
How Trustworthy Is Your Continuous Integration (CI) Accelerator?: A Comparison of the Trustworthiness of CI Acceleration Products. IEEE Softw. 41(6): 82-90 (2024) - [j9]Martin P. Robillard
Communicating Study Design Trade-offs in Software Engineering. ACM Trans. Softw. Eng. Methodol. 33(5): 112:1-112:10 (2024) - [j8]Farshad Kazemi
Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations. IEEE Trans. Software Eng. 50(8): 2096-2109 (2024) - [c8]Zhili Zeng
A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase. MSR 2024: 556-568 - [e1]Weiyi Shang, Maxime Lamothe, Zhiyuan Wan:
Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2024, Porto de Galinhas, Brazil, 16 July 2024. ACM 2024 [contents] - [i5]Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh:
Mining Action Rules for Defect Reduction Planning. CoRR abs/2405.13740 (2024) - [i4]Baharan Nouriinanloo, Maxime Lamothe:
Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models. CoRR abs/2406.18740 (2024) - 2023
- [j7]Mehran Meidani
Assessing the exposure of software changes. Empir. Softw. Eng. 28(2): 41 (2023) - [i3]Amin Ghadesi, Maxime Lamothe, Heng Li:
What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow. CoRR abs/2304.12857 (2023) - 2022
- [j6]Maxime Lamothe, Yann-Gaël Guéhéneuc, Weiyi Shang:
A Systematic Review of API Evolution Literature. ACM Comput. Surv. 54(8): 171:1-171:36 (2022) - [j5]Haonan Zhang
Studying logging practice in test code. Empir. Softw. Eng. 27(4): 83 (2022) - [j4]Maxime Lamothe
A3: Assisting Android API Migrations Using Code Examples. IEEE Trans. Software Eng. 48(2): 417-431 (2022) - [j3]Maxime Lamothe
Assisting Example-Based API Misuse Detection via Complementary Artificial Examples. IEEE Trans. Software Eng. 48(9): 3410-3422 (2022) - [c7]Ruiyin Wen, Maxime Lamothe, Shane McIntosh:
How Does Code Reviewing Feedback Evolve?: A Longitudinal Study at Dell EMC. ICSE (SEIP) 2022: 151-160 - [c6]Keheliya Gallaba
Lessons from Eight Years of Operational Data from a Continuous Integration Service: An Exploratory Case Study of CircleCI. ICSE 2022: 1330-1342 - [c5]Farshad Kazemi
Exploring the Notion of Risk in Code Reviewer Recommendation. ICSME 2022: 139-150 - 2021
- [j2]Sophia Quach
An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs. Empir. Softw. Eng. 26(4): 71 (2021) - [j1]Sophia Quach
Evaluating the impact of falsely detected performance bug-inducing changes in JIT models. Empir. Softw. Eng. 26(5): 97 (2021) - [c4]Ian X. Gauthier, Maxime Lamothe, Gunter Mussbacher, Shane McIntosh:
Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? : A Case Study of the Gerrit Community. ASE 2021: 30-41 - [i2]Mehran Meidani, Maxime Lamothe, Shane McIntosh:
Assessing the Exposure of Software Changes: The DiPiDi Approach. CoRR abs/2104.00725 (2021) - 2020
- [c3]Maxime Lamothe:
Bridging the divide between API users and API developers by mining public code repositories. ICSE (Companion Volume) 2020: 178-181 - [c2]Maxime Lamothe, Weiyi Shang:
When APIs are intentionally bypassed: an exploratory study of API workarounds. ICSE 2020: 912-924
2010 – 2019
- 2018
- [c1]Maxime Lamothe, Weiyi Shang:
Exploring the use of automated API migrating techniques in practice: an experience report on Android. MSR 2018: 503-514 - [i1]Maxime Lamothe, Weiyi Shang, Tse-Hsun Chen:
A4: Automatically Assisting Android API Migrations Using Code Examples. CoRR abs/1812.04894 (2018)
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last updated on 2024-10-23 21:28 CEST by the dblp team
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