Luigi Quaranta

According to our database, Luigi Quaranta authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Impact of data quality for automatic issue classification using pre-trained language models.

Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta

J. Syst. Softw., April, 2024

Training Future Machine Learning Engineers: A Project-Based Course on MLOps.

Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta

IEEE Softw., 2024

A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools.

Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski

CoRR, 2024

QualAI: Continuous Quality Improvement of AI-based Systems.

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

Proceedings of the Joint Proceedings of RCIS 2024 Workshops and Research Projects Track co-located with the 18th International Conferecence on Research Challenges in Information Science (RCIS 2024), 2024

2023

A Lot of Talk and a Badge: An Empirical Analysis of Personal Achievements in GitHub.

Fabio Calefato, Luigi Quaranta, Filippo Lanubile

CoRR, 2023

Teaching MLOps in Higher Education through Project-Based Learning.

Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2023

Assessing the Use of AutoML for Data-Driven Software Engineering.

Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

2022

Eliciting Best Practices for Collaboration with Computational Notebooks.

Luigi Quaranta, Fabio Calefato, Filippo Lanubile

Proc. ACM Hum. Comput. Interact., 2022

Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production.

Luigi Quaranta

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

A Preliminary Investigation of MLOps Practices in GitHub.

Fabio Calefato, Filippo Lanubile, Luigi Quaranta

Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

Pynblint: a static analyzer for Python Jupyter notebooks.

Luigi Quaranta, Fabio Calefato, Filippo Lanubile

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

2021

KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle.

Luigi Quaranta, Fabio Calefato, Filippo Lanubile

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.

Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

A Taxonomy of Tools for Reproducible Machine Learning Experiments.

Luigi Quaranta, Fabio Calefato, Filippo Lanubile

Proceedings of the AIxIA 2021 Discussion Papers co-located with the the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

2019

A replication study on code comprehension and expertise using lightweight biometric sensors.

Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile

Proceedings of the 27th International Conference on Program Comprehension, 2019

Towards recognizing the emotions of developers using biometrics: the design of a field study.

Daniela Girardi, Filippo Lanubile, Nicole Novielli, Luigi Quaranta, Alexander Serebrenik

Proceedings of the 4th International Workshop on Emotion Awareness in Software Engineering, 2019

EMTk: the emotion mining toolkit.

Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta

Proceedings of the 4th International Workshop on Emotion Awareness in Software Engineering, 2019