3 papers
cs.SE2024
A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering
Vincenzo de Martino, Joel Castaño, Fabio Palomba +2
Context: The emergence of Large Language Models (LLMs) has significantly transformed Software Engineering (SE) by providing innovative methods for analyzing software repositories.…
cs.SE2024
Lessons Learned from Mining the Hugging Face Repository
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch
The rapidly evolving fields of Machine Learning (ML) and Artificial Intelligence have witnessed the emergence of platforms like Hugging Face (HF) as central hubs for model developm…
cs.SE2024
GAISSALabel: A tool for energy labeling of ML models
Pau Duran, Joel Castaño, Cristina Gómez +1
Background: The increasing environmental impact of Information Technologies, particularly in Machine Learning (ML), highlights the need for sustainable practices in software engine…