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- short-paperOctober 2024
Continuous Quality Improvement of AI-based Systems: the QualAI Project
- Nicole Novielli,
- Rocco Oliveto,
- Fabio Palomba,
- Fabio Calefato,
- Giuseppe Colavito,
- Vincenzo De Martino,
- Antonio Della Porta,
- Giammaria Giordano,
- Emanuela Guglielmi,
- Filippo Lanubile,
- Luigi Quaranta,
- Gilberto Recupito,
- Simone Scalabrino,
- Angelica Spina,
- Antonio Vitale
ESEM '24: Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and MeasurementPages 603–607https://doi.org/10.1145/3674805.3695393QualAI is a two-year project aimed at defining a set of recommenders to continuously monitor, assess, and improve the quality of AI-based systems, with a particular focus on machine learning (ML) applications. We will develop recommenders for the ...
- research-articleJuly 2024
Leveraging GPT-like LLMs to Automate Issue Labeling
MSR '24: Proceedings of the 21st International Conference on Mining Software RepositoriesPages 469–480https://doi.org/10.1145/3643991.3644903Issue labeling is a crucial task for the effective management of software projects. To date, several approaches have been put forth for the automatic assignment of labels to issue reports. In particular, supervised approaches based on the fine-tuning of ...
