Zacharie Chenail-Larcher

LLM Code Smells: A Taxonomy and Detection Approach

Zacharie Chenail-Larcher, Brahim Mahmoudi, Quentin Stiévenart, Naouel Moha, Florent AVELLANEDA

Preprint · journal

Co-First Author and equal contribution with Brahim Mahmoudi

https://github.com/Brahim-Mahmoudi/Code_Smell_LLM

preprint

Specification and Detection of LLM Code Smells

Brahim Mahmoudi, Zacharie Chenail-Larcher, Quentin Stiévenart, Naouel Moha, Florent AVELLANEDA

International Conference on Software Engineering (ICSE 2026), NIER Track · conference

Co-First Author and equal contribution with Brahim Mahmoudi

https://github.com/Brahim-Mahmoudi/SpecDetect4LLM_ICSE

paper preprint

GLiSE: A Prompt-Driven and ML-Powered Tool for Automated Grey Literature Extraction in Software Engineering

Brahim Mahmoudi, Zacharie Chenail-Larcher, Houcine Abdelkader Cherief, Quentin Stiévenart, Naouel Moha, Florent AVELLANEDA

Mining Software Repositories (MSR 2026), Tool Track · conference

Co-First Author and equal contribution with Houcine Abdelkader Cherief and Brahim Mahmoudi

https://github.com/anonymous10112025-prog/GLiSE

paper preprint

Test generation from use case specifications for IoT systems: Custom, LLM-based, and hybrid approaches

Zacharie Chenail-Larcher, Jean Baptiste Minani, Naouel Moha

IEEE Conference on Software Testing, Verification and Validation (ICST 2025), Short Paper Track · conference

paper doi