Luigi Quaranta

According to our database, Luigi Quaranta authored at least 35 papers between 2019 and 2026.

Collaborative distances:

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

2026

Self-monitoring of Developers' Emotions: The Case of Agile Retrospective Meetings.

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

ACM Trans. Softw. Eng. Methodol., June, 2026

2025

A multivocal literature review on the benefits and limitations of industry-leading AutoML tools.

Luigi Quaranta, Kelly Azevedo, Fabio Calefato, Marcos Kalinowski

Inf. Softw. Technol., 2025

Editorial: Implementing digital twins in healthcare: pathways to person-centric solutions.

Antonella Carbonaro, Alberto Marfoglia, Luigi Quaranta, Sabato Mellone, Filippo Lanubile

Frontiers Digit. Health, 2025

Towards Ensuring Responsible AI for Medical Device Certification.

Giulio Mallardi, Luigi Quaranta, Fabio Calefato, Filippo Lanubile

Proceedings of the IEEE/ACM International Workshop on Responsible AI Engineering, 2025

MLOps-Driven Automation of Regulatory Documentation for AI-Based Medical Software.

Fabrizio Rosmarino, Giulio Mallardi, Luigi Quaranta, Filippo Lanubile

Proceedings of the 1st ECAI Workshop on Machine Learning Operations (MLOps25@ECAI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

MLOps in the Healthcare Domain: a Systematic Literature Review.

Giulio Mallardi, Luigi Quaranta, Fabio Calefato, Filippo Lanubile

Proceedings of the Software Engineering and Advanced Applications, 2025

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

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

Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski

Dataset, January, 2024

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

Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski

Dataset, January, 2024

Pynblint: A quality assurance tool to improve the quality of Python Jupyter notebooks.

Luigi Quaranta, Fabio Calefato, Filippo Lanubile

SoftwareX, 2024

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

Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta

IEEE Softw., 2024

A lot of talk and a badge: An exploratory analysis of personal achievements in GitHub.

Fabio Calefato, Luigi Quaranta, Filippo Lanubile

Inf. Softw. Technol., 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

Leveraging GPT-like LLMs to Automate Issue Labeling.

Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Security Risks and Best Practices of MLOps: A Multivocal Literature Review.

Fabio Calefato, Filippo Lanubile, Luigi Quaranta

Proceedings of the 8th Italian Conference on Cyber Security (ITASEC 2024), 2024

Large Language Models for Issue Report Classification.

Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

An MLOps Solution Framework for Transitioning Machine Learning Models into eHealth Systems.

Andrea Basile, Fabio Calefato, Filippo Lanubile, Giulio Mallardi, Luigi Quaranta

Proceedings of the Ital-IA Intelligenza Artificiale, 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

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

An MLOps Approach for Deploying Machine Learning Models in Healthcare Systems.

Giulio Mallardi, Fabio Calefato, Luigi Quaranta, Filippo Lanubile

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Dataset, February, 2021

collab-uniba/KGTorrent: First release (v. 1.0.0) of KGTorrent.

Luigi Quaranta, Fabio Calefato, Filippo Lanubile

Dataset, January, 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