Maxime Lamothe

38 papers A* 5A 6B 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects. CoRR Kaveh Shahedi, Nana Gyambrah, Heng Li, Maxime Lamothe, Foutse Khomh
2025	A*	`conf`	Automated, Unsupervised, and Auto-Parameterized Inference of Data Patterns and Anomaly Detection. ICSE Qiaolin Qin, Heng Li, Ettore Merlo, Maxime Lamothe
2025	J	`jnl`	From Code Smells to Best Practices: Tackling Resource Leaks in PyTorch, TensorFlow, and Keras. CoRR Bashar Abdallah, Martyna E. Wojciechowska, Gustavo Santos, Edmand Yu, Maxime Lamothe, Alain Abran, Mohammad Hamdaqa
2025	A*	`conf`	From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool. ASE Kaveh Shahedi, Matthew Khouzam, Heng Li, Maxime Lamothe, Foutse Khomh
2025	J	`jnl`	From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool. CoRR Kaveh Shahedi, Matthew Khouzam, Heng Li, Maxime Lamothe, Foutse Khomh
2025	A	`conf`	HybridRCA: Lightweight Critical-Path-Aware Hybrid Tracing for Root-Cause Analysis in Production Microservices. ICSME Maryam Ekhlasi, Arnaud Fiorini, Michel R. Dagenais, Naser Ezzati-Jivan, Maxime Lamothe
2025	B	`conf`	InsightAI: Root Cause Analysis in Large Log Files with Private Data Using Large Language Model. CAIN Maryam Ekhlasi, Anurag Prakash, Maxime Lamothe, Michel R. Dagenais
2025	A	`conf`	Interrogative Comments Posed by Review Comment Generators: An Empirical Study of Gerrit. ESEM Farshad Kazemi, Maxime Lamothe, Shane McIntosh
2025	A	`conf`	JPerfEvo: A Tool for Tracking Method-Level Performance Changes in Java Projects. MSR Kaveh Shahedi, Maxime Lamothe, Foutse Khomh, Heng Li
2025	J	`jnl`	RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring. CoRR Khouloud Oueslati, Maxime Lamothe, Foutse Khomh
2024	A	`conf`	A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase. MSR Zhili Zeng, Tao Xiao, Maxime Lamothe, Hideaki Hata, Shane McIntosh
2024	J	`jnl`	Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection. CoRR Qiaolin Qin, Heng Li, Ettore Merlo, Maxime Lamothe
2024	J	`jnl`	Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations. IEEE Trans. Software Eng. Farshad Kazemi, Maxime Lamothe, Shane McIntosh
2024	J	`jnl`	Communicating Study Design Trade-offs in Software Engineering. ACM Trans. Softw. Eng. Methodol. Martin P. Robillard, Deeksha M. Arya, Neil A. Ernst, Jin L. C. Guo, Maxime Lamothe, Mathieu Nassif, Nicole Novielli, Alexander Serebrenik, Igor Steinmacher, Klaas-Jan Stol
2024	J	`jnl`	How Trustworthy Is Your Continuous Integration (CI) Accelerator?: A Comparison of the Trustworthiness of CI Acceleration Products. IEEE Softw. Zhili Zeng, Tao Xiao, Maxime Lamothe, Hideaki Hata, Shane McIntosh
2024	J	`jnl`	Mining Action Rules for Defect Reduction Planning. CoRR Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
2024	J	`jnl`	Mining Action Rules for Defect Reduction Planning. Proc. ACM Softw. Eng. Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
2024	—	`ed.`	Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2024, Porto de Galinhas, Brazil, 16 July 2024 PROMISE Weiyi Shang, Maxime Lamothe, Zhiyuan Wan
2024	J	`jnl`	Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models. CoRR Baharan Nouriinanloo, Maxime Lamothe
2024	J	`jnl`	Tracing Optimization for Performance Modeling and Regression Detection. CoRR Kaveh Shahedi, Heng Li, Maxime Lamothe, Foutse Khomh
2024	J	`jnl`	What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow. Empir. Softw. Eng. Amin Ghadesi, Maxime Lamothe, Heng Li
2023	J	`jnl`	Assessing the exposure of software changes. Empir. Softw. Eng. Mehran Meidani, Maxime Lamothe, Shane McIntosh
2023	J	`jnl`	What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow. CoRR Amin Ghadesi, Maxime Lamothe, Heng Li
2022	J	`jnl`	A Systematic Review of API Evolution Literature. ACM Comput. Surv. Maxime Lamothe, Yann-Gaël Guéhéneuc, Weiyi Shang
2022	J	`jnl`	A3: Assisting Android API Migrations Using Code Examples. IEEE Trans. Software Eng. Maxime Lamothe, Weiyi Shang, Tse-Hsun Peter Chen
2022	J	`jnl`	Assisting Example-Based API Misuse Detection via Complementary Artificial Examples. IEEE Trans. Software Eng. Maxime Lamothe, Heng Li, Weiyi Shang
2022	A	`conf`	Exploring the Notion of Risk in Code Reviewer Recommendation. ICSME Farshad Kazemi, Maxime Lamothe, Shane McIntosh
2022	—	`conf`	How Does Code Reviewing Feedback Evolve?: A Longitudinal Study at Dell EMC. ICSE (SEIP) Ruiyin Wen, Maxime Lamothe, Shane McIntosh
2022	A*	`conf`	Lessons from Eight Years of Operational Data from a Continuous Integration Service: An Exploratory Case Study of CircleCI. ICSE Keheliya Gallaba, Maxime Lamothe, Shane McIntosh
2022	J	`jnl`	Studying logging practice in test code. Empir. Softw. Eng. Haonan Zhang, Yiming Tang, Maxime Lamothe, Heng Li, Weiyi Shang
2021	J	`jnl`	An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs. Empir. Softw. Eng. Sophia Quach, Maxime Lamothe, Yasutaka Kamei, Weiyi Shang
2021	J	`jnl`	Assessing the Exposure of Software Changes: The DiPiDi Approach. CoRR Mehran Meidani, Maxime Lamothe, Shane McIntosh
2021	J	`jnl`	Evaluating the impact of falsely detected performance bug-inducing changes in JIT models. Empir. Softw. Eng. Sophia Quach, Maxime Lamothe, Bram Adams, Yasutaka Kamei, Weiyi Shang
2021	A*	`conf`	Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? : A Case Study of the Gerrit Community. ASE Ian X. Gauthier, Maxime Lamothe, Gunter Mussbacher, Shane McIntosh
2020	—	`conf`	Bridging the divide between API users and API developers by mining public code repositories. ICSE (Companion Volume) Maxime Lamothe
2020	A*	`conf`	When APIs are intentionally bypassed: an exploratory study of API workarounds. ICSE Maxime Lamothe, Weiyi Shang
2018	J	`jnl`	A4: Automatically Assisting Android API Migrations Using Code Examples. CoRR Maxime Lamothe, Weiyi Shang, Tse-Hsun Chen
2018	A	`conf`	Exploring the use of automated API migrating techniques in practice: an experience report on Android. MSR Maxime Lamothe, Weiyi Shang