Maxime Lamothe

According to our database, Maxime Lamothe authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow.

Amin Ghadesi, Maxime Lamothe, Heng Li

Empir. Softw. Eng., September, 2024

Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations.

Farshad Kazemi, Maxime Lamothe, Shane McIntosh

IEEE Trans. Software Eng., August, 2024

Communicating Study Design Trade-offs in Software Engineering.

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

ACM Trans. Softw. Eng. Methodol., June, 2024

How Trustworthy Is Your Continuous Integration (CI) Accelerator?: A Comparison of the Trustworthiness of CI Acceleration Products.

Zhili Zeng, Tao Xiao, Maxime Lamothe, Hideaki Hata, Shane McIntosh

IEEE Softw., 2024

Mining Action Rules for Defect Reduction Planning.

Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh

Proc. ACM Softw. Eng., 2024

Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection.

Qiaolin Qin, Heng Li, Ettore Merlo, Maxime Lamothe

CoRR, 2024

Tracing Optimization for Performance Modeling and Regression Detection.

Kaveh Shahedi, Heng Li, Maxime Lamothe, Foutse Khomh

CoRR, 2024

Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models.

Baharan Nouriinanloo, Maxime Lamothe

CoRR, 2024

A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase.

Zhili Zeng, Tao Xiao, Maxime Lamothe, Hideaki Hata, Shane McIntosh

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023

Assessing the exposure of software changes.

Mehran Meidani, Maxime Lamothe, Shane McIntosh

Empir. Softw. Eng., March, 2023

2022

A3: Assisting Android API Migrations Using Code Examples.

Maxime Lamothe, Weiyi Shang, Tse-Hsun Peter Chen

IEEE Trans. Software Eng., 2022

Assisting Example-Based API Misuse Detection via Complementary Artificial Examples.

Maxime Lamothe, Heng Li, Weiyi Shang

IEEE Trans. Software Eng., 2022

Studying logging practice in test code.

Haonan Zhang, Yiming Tang, Maxime Lamothe, Heng Li, Weiyi Shang

Empir. Softw. Eng., 2022

A Systematic Review of API Evolution Literature.

Maxime Lamothe, Yann-Gaël Guéhéneuc, Weiyi Shang

ACM Comput. Surv., 2022

Exploring the Notion of Risk in Code Reviewer Recommendation.

Farshad Kazemi, Maxime Lamothe, Shane McIntosh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

How Does Code Reviewing Feedback Evolve?: A Longitudinal Study at Dell EMC.

Ruiyin Wen, Maxime Lamothe, Shane McIntosh

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

Lessons from Eight Years of Operational Data from a Continuous Integration Service: An Exploratory Case Study of CircleCI.

Keheliya Gallaba, Maxime Lamothe, Shane McIntosh

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs.

Sophia Quach, Maxime Lamothe, Yasutaka Kamei, Weiyi Shang

Empir. Softw. Eng., 2021

Evaluating the impact of falsely detected performance bug-inducing changes in JIT models.

Sophia Quach, Maxime Lamothe, Bram Adams, Yasutaka Kamei, Weiyi Shang

Empir. Softw. Eng., 2021

Assessing the Exposure of Software Changes: The DiPiDi Approach.

Mehran Meidani, Maxime Lamothe, Shane McIntosh

CoRR, 2021

Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? : A Case Study of the Gerrit Community.

Ian X. Gauthier, Maxime Lamothe, Gunter Mussbacher, Shane McIntosh

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

When APIs are intentionally bypassed: an exploratory study of API workarounds.

Maxime Lamothe, Weiyi Shang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Bridging the divide between API users and API developers by mining public code repositories.

Maxime Lamothe

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2018

A4: Automatically Assisting Android API Migrations Using Code Examples.

Maxime Lamothe, Weiyi Shang, Tse-Hsun Chen

CoRR, 2018

Exploring the use of automated API migrating techniques in practice: an experience report on Android.

Maxime Lamothe, Weiyi Shang

Proceedings of the 15th International Conference on Mining Software Repositories, 2018