activity
20242026
collaborators

14 papers

cs.SE2026

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…

cs.SE2026

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,…

cs.SE2026

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…

cs.LG2026

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…

cs.IR2026

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…

cs.SE2026

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…