3 papers
cs.SE2025
Performance Smells in ML and Non-ML Python Projects: A Comparative Study
François Belias, Leuson Da Silva, Foutse Khomh +1
Python is widely adopted across various domains, especially in Machine Learning (ML) and traditional software projects. Despite its versatility, Python is susceptible to performanc…
cs.SE2024
Continuously Learning Bug Locations
Paulina Stevia Nouwou Mindom, Leuson Da Silva, Amin Nikanjam +1
Automatically locating buggy changesets associated with bug reports is crucial in the software development process. Deep Learning (DL)-based techniques show promising results by le…
cs.SE2024
Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study
Doriane Olewicki, Leuson Da Silva, Suhaib Mujahid +6
We conduct a large-scale empirical user study in a live setup to evaluate the acceptance of LLM-generated comments and their impact on the review process. This user study was perfo…