11 citations · 33 across the 16 of their papers we have counts for
4 papers · 1 filter
Specification and Detection of LLM Code Smells
Brahim Mahmoudi, Zacharie Chenail-Larcher, Naouel Moha +2
Large Language Models (LLMs) have gained massive popularity in recent years and are increasingly integrated into software systems for diverse purposes. However, poorly integrating…
GLiSE: A Prompt-Driven and ML-Powered Tool for Automated Grey Literature Extraction in Software Engineering
Houcine Abdelkader Cherief, Brahim Mahmoudi, Zacharie Chenail-Larcher +3
Grey literature is essential to software engineering research as it captures practices and decisions that rarely appear in academic venues. However, collecting and assessing it at…
SpecDetect4ML: Detecting Non-Local ML Code Smells with Code Property Graphs
Brahim Mahmoudi, Naouel Moha, Quentin Stiévenart +1
Machine Learning (ML) pipelines encode quality-relevant decisions across data preparation, training, evaluation, and configuration code. Some recurring source-level quality problem…
A Systematic Literature Review of Machine Learning Approaches for Migrating Monolithic Systems to Microservices
Imen Trabelsi, Brahim Mahmoudi, Jean Baptiste Minani +2
Scalability and maintainability challenges in monolithic systems have led to the adoption of microservices, which divide systems into smaller, independent services. However, migrat…