Luigi Quaranta
Dipartimento di Informatica
University of Bari “A. Moro”
Collaborative Development Group
Via Orabona, 4
70125 – Bari, Italy
Floor: 6th
Phone: +39 080 544 3261
Fax: +39 080 544 2031
Email: luigi.quaranta@uniba.it
Luigi Quaranta is a Ph.D. student at the University of Bari, Italy. His main research interest is Software Engineering for Artificial Intelligence. Currently, he is investigating the compelling benefits and common pitfalls of computational notebooks, with a focus on the Jupyter ecosystem; his goal is to improve the integration of computational notebooks in AI-enabled system building workflows, promoting the adoption of Software Engineering best practices.
Research Interests
- Software Engineering
- Artificial Intelligence
- Mining Software Repositories
- Collaboration in Software Development
- Social Software Engineering
Education and Background
- Master’s degree in ‘Computer Science’ (July 2019) – University of Bari, Italy
(full marks and honors) - Bachelor’s degree in ‘Computer Science’ (October 2016) – University of Bari, Italy
(full marks and honors)
Professional Service
Publications
Listed by Google Scholar
Listed on Research Gate
2021
- L. Quaranta, F. Calefato and F. Lanubile, “KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle,” 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), 2021, pp. 550-554, doi: 10.1109/MSR52588.2021.00072.
- F. Lanubile, F. Calefato, L. Quaranta, M. Amoruso, F. Fumarola and M. Filannino, “Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists,” 2021 IEEE/ACM 1st Workshop on AI Engineering – Software Engineering for AI (WAIN), 2021, pp. 129-132, doi: 10.1109/WAIN52551.2021.00027.
2019
- D. Fucci, D. Girardi, N. Novielli, L. Quaranta and F. Lanubile, “A Replication Study on Code Comprehension and Expertise using Lightweight Biometric Sensors,” 2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC), 2019, pp. 311-322, doi: 10.1109/ICPC.2019.00050.
- F. Calefato, F. Lanubile, N. Novielli and L. Quaranta, “EMTk – The Emotion Mining Toolkit,” 2019 IEEE/ACM 4th International Workshop on Emotion Awareness in Software Engineering (SEmotion), 2019, pp. 34-37, doi: 10.1109/SEmotion.2019.00014.
- D. Girardi, F. Lanubile, N. Novielli, L. Quaranta and A. Serebrenik, “Towards Recognizing the Emotions of Developers Using Biometrics: The Design of a Field Study,” 2019 IEEE/ACM 4th International Workshop on Emotion Awareness in Software Engineering (SEmotion), 2019, pp. 13-16, doi: 10.1109/SEmotion.2019.00010.