Maxime Lamothe

I'm

About

I am an assistant professor at Polytechnique Montreal (and currently looking for Masters and Ph.D. students). In early 2021 I was a postdoctoral researcher studying software build systems in the Software REBELs Lab at the University of Waterloo under the supervision of Prof. Shane McIntosh. My doctoral thesis focused on reducing knowledge gaps between the users and developers of software APIs. I obtained my Ph.D. from Concordia University (2020), M.Eng degree from Concordia University (2017), and my B.Eng at McGill University (2013). My primary research interests lie in empirical software engineering, mining software repositories, software APIs, build systems, software performance, and bug-detection.

Research Interests

empirical software engineering, mining software repositories, Software APIs, Software build systems, AI for SE and SE for AI, bug inducing changes, software performance, and software engineering in general.

Publications

Also on Google Scholar

2021

Journals

Assisting Example-based API Misuse Detectionvia Complementary Artificial Examples.
Maxime Lamothe, Heng Li, and Weiyi Shang.
Accepted to: IEEE Transactions on Software Engineering (TSE) Pre-Print

Evaluating the impact of falsely detected performance bug-inducing changes in JIT models.
Sophia Quach, Maxime Lamothe, Bram Adams, Yasutaka Kamei, and Weiyi Shang.
Accepted to: Empirical Software Engineering An International Journal (EMSE)

An Empirical Study on the Use of SZZ for Identifying Inducing Changes of Non-functional Bugs.
Sophia Quach, Maxime Lamothe, Yasutaka Kamei, and Weiyi Shang.
Accepted to: Empirical Software Engineering An International Journal (EMSE) Pre-Print

A Systematic Review of API Evolution Literature.
Maxime Lamothe, Yann-Gaël Guéhéneuc, and Weiyi Shang.
Accepted to: ACM Computing Surveys (CSUR). Pre-Print

Conferences

Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? A Case Study of the Gerrit Community.
Ian X. Gauthier, Maxime Lamothe, Gunter Mussbacher, and Shane McIntosh.
Accepted at The International Conference on Automated Software Engineering 2021. Pre-Print

Assessing the Exposure of Software Changes: The DiPiDi Approach.
Mehran Meidani, Maxime Lamothe and Shane McIntosh.
Accepted at The Mining Software Repositories (MSR) conference (MSR REGISTERED REPORT TRACK) 2021. Pre-Print

2020

Journals

A3: Assisting Android API Migrations Using Code Examples.
Maxime Lamothe, Weiyi Shang, and Tse-Hsun Chen.
Published in: IEEE Transactions on Software Engineering (TSE) 2020. Pre-Print

Conferences

When APIs are Intentionally Bypassed: An Exploratory Study of API Workarounds.
Maxime Lamothe and Weiyi Shang.
Published in: The 42nd International Conference on Software Engineering (ICSE) 2020. Pre-Print

Bridging the Divide Between API Users and API Developers by Mining Public Code repositories.
Maxime Lamothe.
Published in: The 42nd International Conference on Software Engineering Doctoral Symposium (ICSE-DS) 2020. Pre-Print

2018

Conferences

Exploring the Use of Automated API Migrating Techniques in Practice: An Experience Report on Android.
Maxime Lamothe and Weiyi Shang.
Published in: The 15th International Conference on Mining Software Repositories (MSR) 2018. PDF

Academic Services

Reviewer

Journals

Empirical Software Engineering (EMSE)
Journal of Systems and Software (JSS)

2021

ESEC/FSE Demonstrations-track
ESEC/FSE Artifacts-track
ASE Artifacts-track

Sub-Reviewer

2020

ICPE, ICSE, ICSME, SANER

2019

SANER, JSS

2018

ICSME, ICPE, SANER

Contact

You can contact me either by using the Linkedin link on this page, or by email through the email presented below.

Location:

2500, Chemin de Polytechnique, Montreal, QC, Canada, H3T1J4