10 papers
A Tool for Automatically Cataloguing and Selecting Pre-Trained Models and Datasets for Software Engineering
Alexandra González, Oscar Cerezo, Xavier Franch +1
The rapid growth of machine learning assets has made it increasingly difficult for software engineers to identify models and datasets that match their specific needs. Browsing larg…
SEMODS: A Validated Dataset of Open-Source Software Engineering Models
Alexandra González, Xavier Franch, Silverio MartÃnez-Fernández
Integrating Artificial Intelligence into Software Engineering (SE) requires having a curated collection of models suited to SE tasks. With millions of models hosted on Hugging Face…
Cataloguing Hugging Face Models to Software Engineering Activities: Automation and Findings
Alexandra González, Xavier Franch, David Lo +1
Context: Open-source Pre-Trained Models (PTMs) provide extensive resources for various Machine Learning (ML) tasks, yet these resources lack a classification tailored to Software E…
Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification
Mohammad Amin Zadenoori, Vincenzo De Martino, Jacek Dabrowski +2
[Context and motivation] Large language models (LLMs) show notable results in natural language processing (NLP) tasks for requirements engineering (RE). However, their use is compr…
Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering
Vincenzo De Martino, Mohammad Amin Zadenoori, Xavier Franch +1
Language Models are increasingly applied in software engineering, yet their inference raises growing environmental concerns. Prior work has examined hardware choices and prompt len…
A Methodological Framework for LLM-Based Mining of Software Repositories
Vincenzo De Martino, Joel Castaño, Fabio Palomba +2
Large Language Models (LLMs) are increasingly used in software engineering research, offering new opportunities for automating repository mining tasks. However, despite their growi…