Luigi Quaranta

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Literature Review

Quality Improvement

Preliminary Investigation

Top Venues

Publications

Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta
Training Future Machine Learning Engineers: A Project-Based Course on MLOps. IEEE Softw. 41 (2) (2024)
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
QualAI: Continuous Quality Improvement of AI-based Systems. RCIS Workshops (2024)
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
Security Risks and Best Practices of MLOps: A Multivocal Literature Review. ITASEC (2024)
Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski
A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools. CoRR (2024)
Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
Leveraging GPT-like LLMs to Automate Issue Labeling. MSR (2024)
Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
Impact of data quality for automatic issue classification using pre-trained language models. J. Syst. Softw. 210 (2024)
Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta
Teaching MLOps in Higher Education through Project-Based Learning. SEET@ICSE (2023)
Fabio Calefato, Luigi Quaranta, Filippo Lanubile
A Lot of Talk and a Badge: An Empirical Analysis of Personal Achievements in GitHub. CoRR (2023)
Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski
Assessing the Use of AutoML for Data-Driven Software Engineering. CoRR (2023)
Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski
Assessing the Use of AutoML for Data-Driven Software Engineering. ESEM (2023)
Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta
Teaching MLOps in Higher Education through Project-Based Learning. CoRR (2023)
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
Eliciting Best Practices for Collaboration with Computational Notebooks. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
A Preliminary Investigation of MLOps Practices in GitHub. ESEM (2022)
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
Eliciting Best Practices for Collaboration with Computational Notebooks. CoRR (2022)
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
Pynblint: a Static Analyzer for Python Jupyter Notebooks. CoRR (2022)
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
Pynblint: a static analyzer for Python Jupyter notebooks. CAIN (2022)
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
A Preliminary Investigation of MLOps Practices in GitHub. CoRR (2022)
Luigi Quaranta
Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production. ICSE-Companion (2022)
Luigi Quaranta
Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production. CoRR (2022)
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle. MSR (2021)
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. WAIN@ICSE (2021)
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. CoRR (2021)
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle. CoRR (2021)
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
A Taxonomy of Tools for Reproducible Machine Learning Experiments. DP@AI*IA (2021)
Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile
A Replication Study on Code Comprehension and Expertise using Lightweight Biometric Sensors. CoRR (2019)
Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
EMTk - The Emotion Mining Toolkit. CoRR (2019)
Daniela Girardi, Filippo Lanubile, Nicole Novielli, Luigi Quaranta, Alexander Serebrenik
Towards recognizing the emotions of developers using biometrics: the design of a field study. SEmotion@ICSE (2019)
Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile
A replication study on code comprehension and expertise using lightweight biometric sensors. ICPC (2019)
Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
EMTk: the emotion mining toolkit. SEmotion@ICSE (2019)