76 citations · 278 across the 39 of their papers we have counts for
5 papers · 1 filter
Artificial or Just Artful? Do LLMs Bend the Rules in Programming?
Oussama Ben Sghaier, Kevin Delcourt, Houari Sahraoui
Large Language Models (LLMs) are widely used for automated code generation, yet their apparent successes often mask a tension between pretraining objectives and alignment choices.…
Leveraging Reward Models for Guiding Code Review Comment Generation
Oussama Ben Sghaier, Rosalia Tufano, Gabriele Bavota +1
Code review is a crucial component of modern software development, involving the evaluation of code quality, providing feedback on potential issues, and refining the code to addres…
MONO2REST: Identifying and Exposing Microservices: a Reusable RESTification Approach
Matthéo Lecrivain, Hanifa Barry, Dalila Tamzalit +1
The microservices architectural style has become the de facto standard for large-scale cloud applications, offering numerous benefits in scalability, maintainability, and deploymen…
Combining Large Language Models with Static Analyzers for Code Review Generation
Imen Jaoua, Oussama Ben Sghaier, Houari Sahraoui
Code review is a crucial but often complex, subjective, and time-consuming activity in software development. Over the past decades, significant efforts have been made to automate t…
Harnessing Large Language Models for Curated Code Reviews
Oussama Ben Sghaier, Martin Weyssow, Houari Sahraoui
In code review, generating structured and relevant comments is crucial for identifying code issues and facilitating accurate code changes that ensure an efficient code review proce…