76 citations · 278 across the 39 of their papers we have counts for
8 papers · 1 filter
Does AI-Assisted Development Homogenize Software? An Empirical Study of Code Similarity, Quality, and Evolution
Luciano Marchezan, Romain Lefeuvre, Kevin Delcourt +2
AI-assisted software development is evolving from interactive LLM assistance toward agentic systems that autonomously perform software engineering tasks, yet the effects of this sh…
Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning
Luciano Marchezan, Kevin Delcourt, Eugene Syriani +1
Software clones are fragments of code that are similar or functionally equivalent to each other. They pose significant challenges for maintenance, refactoring, and bug detection. D…
Breaking Models to Test the Judge: A Mutation Testing Approach for Semantic Evaluators of Domain Class Diagrams
Kevin Delcourt, Meriem Ben Chaaben, Abdelhamid Rouatbi +2
In software engineering, many semantic modeling tasks lack a unique ground truth, as human judgments are both costly and subjective. This paper explores mutation testing as a scala…
Towards Automated Domain Model Extraction from Source Code using Heuristics and Open-Source LLMs
Alessandra Mancas, Mounir Ammam, Hyacinth Ali +2
Large language models (LLMs) have recently shown strong capabilities for code understanding, making them promising for reverse engineering domain models from source code. However,…
Balancing Usefulness and Naturalness: An LLM-based Curation Pipeline for Code Review Comments
Oussama Ben Sghaier, Martin Weyssow, Houari Sahraoui
Code review is a cornerstone of software development, where reviewers provide feedback through written comments to ensure code quality, maintainability, and correctness. The effect…
Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems
Pascal Archambault, Houari Sahraoui, Eugene Syriani
Digital twins of natural systems must remain aligned with physical systems that evolve over time, are only partially observed, and are typically modeled by mechanistic simulators w…
From Intent to AI Pipelines: A Controlled Agentic Framework for Non-AI Expert Scientists
Hyacinth Ali, Jessie Galasso-Carbonnel, Houari Sahraoui
Artificial Intelligence (AI) pipelines have become integral to modern research, supporting fields such as Medical Sciences, Agriculture, and Social Sciences, and enabling large-sca…
Modeling Sampling Workflows for Code Repositories
Romain Lefeuvre, Maïwenn Le Goasteller, Jessie Galasso +3
Empirical software engineering research often depends on datasets of code repository artifacts, where sampling strategies are employed to enable large-scale analyses. The design an…