Giuseppe Colavito πŸš€
Giuseppe Colavito

PhD Student in Artificial Intelligence

Hi there! πŸ‘‹

I am Giuseppe Colavito, a PhD student of the Italian National PhD in Artificial Intelligence for Society, supervised by Dr. Nicole Novielli and Dr. Filippo Lanubile.
I hold dual affiliations with the University of Pisa and the University of Bari.
My research interests revolve around Natural Language Processing (NLP), Software Engineering, and Machine Learning.

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Interests
  • Artificial Intelligence
  • Software Engineering
  • Natural Language Processing
Education
  • PhD Student in Artificial Intelligence

    University of Pisa | University of Bari

  • MSc Computer Science - Artificial Intelligence

    University of Bari

  • BSc Computer Science

    University of Bari

πŸ“š My Research

My research focuses on generative AI for automatic labeling in software engineering, with a case study on issue report classification.

I aim to improve the accuracy and efficiency of issue classification by leveraging few-shot learning and large language models (LLMs).

The goal is to develop methods that require minimal labeled data and reduce the manual effort needed for annotation, ensuring effective application in both open-source and industrial settings.

I am currently collaborating with NASA Goddard Space Flight Center to test the effectiveness of current approaches for issue classification in the industry.

Featured Publications
Recent News

πŸš€ Started collaboration with NASA πŸš€

I am excited to announce that I have started a collaboration with NASA Goddard Space Flight Center to test the effectiveness of current approaches for issue classification in the industry.

Recent Publications
(2024). Impact of Data Quality for Automatic Issue Classification Using Pre-Trained Language Models. Journal of Systems and Software.
(2024). Leveraging GPT-like LLMs to Automate Issue Labeling. 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR).
(2024). QualAI: Continuous Quality Improvement of AI-based Systems.. RCIS Workshops.
(2023). Few-Shot Learning for Issue Report Classification. 2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE).
(2023). Issue Report Classification Using Pre-Trained Language Models. Proceedings of the 1st International Workshop on Natural Language-based Software Engineering.
Recent & Upcoming Talks