MSR 2025
Mon 28 - Tue 29 April 2025 Ottawa, Ontario, Canada
co-located with ICSE 2025
Mon 28 Apr 2025 15:15 - 15:20 at 214 - AI for SE (1) Chair(s): Diego Elias Costa

Pre-trained models (PTMs) are becoming a common component in open-source software (OSS) development, yet their roles, maintenance practices, and lifecycle challenges remain underexplored. This report presents a plan for an exploratory study to investigate how PTMs are utilized, maintained, and tested in OSS projects, focusing on models hosted on platforms like Hugging Face and PyTorch Hub. We plan to explore how PTMs are used in open-source software projects and their related maintenance practices by mining software repositories that use PTMs and analyzing their code-base, historical data, and reported issues. This study aims to provide actionable insights into improving the use and sustainability of PTM in open-source projects and a step towards a foundation for advancing software engineering practices in the context of model dependencies.

Mon 28 Apr

Displayed time zone: Eastern Time (US & Canada) change

14:00 - 15:30
AI for SE (1)Technical Papers / Data and Tool Showcase Track / Registered Reports at 214
Chair(s): Diego Elias Costa Concordia University, Canada
14:00
10m
Talk
Combining Large Language Models with Static Analyzers for Code Review Generation
Technical Papers
Imen Jaoua DIRO, Université de Montréal, Oussama Ben Sghaier DIRO, Université de Montréal, Houari Sahraoui DIRO, Université de Montréal
Pre-print
14:10
10m
Talk
Harnessing Large Language Models for Curated Code Reviews
Technical Papers
Oussama Ben Sghaier DIRO, Université de Montréal, Martin Weyssow Singapore Management University, Houari Sahraoui DIRO, Université de Montréal
Pre-print
14:20
10m
Talk
SMATCH-M-LLM: Semantic Similarity in Metamodel Matching With Large Language Models
Technical Papers
Nafisa Ahmed Polytechnique Montreal, Hin Chi Kwok Hong Kong Polytechnic University, Mohammad Hamdaqa Polytechnique Montreal, Wesley Assunção Johannes Kepler University Linz
14:30
10m
Talk
How Effective are LLMs for Data Science Coding? A Controlled ExperimentTechnical Track Distinguished Paper Award
Technical Papers
Nathalia Nascimento Pennsylvania State University, Everton Guimaraes Pennsylvania State University, Sai Sanjna Chintakunta Pennsylvania State University, Santhosh AB Pennsylvania State University
Pre-print
14:40
10m
Talk
Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot
Technical Papers
Daniele Bifolco University of Sannio, Pietro Cassieri University of Salerno, Giuseppe Scanniello University of Salerno, Massimiliano Di Penta University of Sannio, Italy, Fiorella Zampetti University of Sannio, Italy
Pre-print
14:50
10m
Talk
Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation
Technical Papers
Chunhua Liu The University of Melbourne, Hong Yi Lin The University of Melbourne, Patanamon Thongtanunam University of Melbourne
15:00
5m
Talk
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks
Technical Papers
Kyi Shin Khant The University of Melbourne, Hong Yi Lin The University of Melbourne, Patanamon Thongtanunam University of Melbourne
15:05
5m
Talk
RepoChat: An LLM-Powered Chatbot for GitHub Repository Question-Answering
Data and Tool Showcase Track
Samuel Abedu Concordia University, Laurine Menneron CESI Graduate School of Engineering, SayedHassan Khatoonabadi Concordia University, Montreal, Emad Shihab Concordia University, Montreal
15:10
5m
Talk
How do Copilot Suggestions Impact Developers' Frustration and Productivity?
Registered Reports
Emanuela Guglielmi University of Molise, Venera Arnaoudova Washington State University, Gabriele Bavota Software Institute @ Università della Svizzera Italiana, Rocco Oliveto University of Molise, Simone Scalabrino University of Molise
15:15
5m
Talk
Exploring the Lifecycle and Maintenance Practices of Pre-Trained Models in Open-Source Software Repositories
Registered Reports
Matin Koohjani Concordia University, Diego Elias Costa Concordia University, Canada
Pre-print