Catolino, Gemma
Catolino, Gemma
Dipartimento di Informatica/DI
"When the Code becomes a Crime Scene" Towards Dark Web Threat Intelligence with Software Quality Metrics
2022 Cascavilla, G.; Catolino, G.; Ebert, F.; Tamburri, D. A.; van den Heuvel, W J
A blessing in disguise? Assessing the Relationship between Code Smells and Sustainability
2020 Catolino, G.
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
2025 Voria, G.; Sellitto, G.; Ferrara, C.; Abate, F.; De Lucia, A.; Ferrucci, F.; Catolino, G.; Palomba, F.
A compositional model for effort-aware Just-In-Time defect prediction on android apps
2022 Zhao, Ks; Xu, Z; Yan, M; Xue, L; Li, W; Catolino, G
A Multivocal Literature Review of MLOps Tools and Features
2022 Recupito, Gilberto; Pecorelli, Fabiano; Catolino, Gemma; Moreschini, Sergio; Nucci, Dario Di; Palomba, Fabio; Tamburri, Damian A.
A Set of Metrics for the Effort Estimation of Mobile Apps
2017 Catolino, Gemma; Salza, Pasquale; Gravino, Carmine; Ferrucci, Filomena
An Empirical Investigation Into the Influence of Software Communities’ Cultural and Geographical Dispersion on Productivity
2024 Lambiase, S.; Catolino, G.; Pecorelli, F.; Tamburri, D. A.; Palomba, F.; Van Den Heuvel, W. -J.; Ferrucci, F.
An Empirical Study of Social Debt in Open-Source Projects: Social Drivers and the “Known Devil” Community Smell
2024 Chen, H. -M.; Kazman, R.; Catolino, G.; Manca, M.; Tamburri, D.; van de Heuvel, W. -J.
An Empirical Study on the Relation Between Programming Languages and the Emergence of Community Smells
2024 Annunziata, G.; Ferrara, C.; Lambiase, S.; Palomba, F.; Catolino, G.; Ferrucci, F.; De Lucia, A.
An extensive evaluation of ensemble techniques for software change prediction
2019 Catolino, Gemma; Ferrucci, Filomena
Community Smell Detection and Refactoring in SLACK: The CADOCS Project
2022 Voria, Gianmario; Pentangelo, Viviana; Porta, Antonio Della; Lambiase, Stefano; Catolino, Gemma; Palomba, Fabio; Ferrucci, Filomena
Cross-Project Just-in-Time Bug Prediction for Mobile Apps: An Empirical Assessment
2019 Catolino, G; Di Nucci, D; Ferrucci, F
Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice
2024 Lambiase, Stefano; Catolino, Gemma; Piana, Bice Della; Ferrucci, Filomena; Palomba, Fabio
Developer-Related Factors in Change Prediction: An Empirical Assessment
2017 Catolino, Gemma; Palomba, Fabio; DE LUCIA, Andrea; Ferrucci, Filomena; Zaidman, Andy
Does source code quality reflect the ratings of apps?
2018 Catolino, Gemma
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding
2021 Xu, Z.; Zhao, K.; Zhang, T.; Fu, C.; Yan, M.; Xie, Z.; Zhang, X.; Catolino, G.
Effort-oriented methods and tools for software development and maintenance for mobile apps
2018 Catolino, Gemma
Enhancing change prediction models using developer-related factors
2018 Catolino, Gemma; Palomba, Fabio; De Lucia, Andrea; Ferrucci, Filomena; Zaidman, Andy
Ensemble techniques for software change prediction: A preliminary investigation
2018 Catolino, Gemma; Ferrucci, Filomena
Examining the impact of bias mitigation algorithms on the sustainability of ML-enabled systems: A benchmark study
2025 De Martino, Vincenzo; Voria, Gianmario; Troiano, Ciro; Catolino, Gemma; Palomba, Fabio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| "When the Code becomes a Crime Scene" Towards Dark Web Threat Intelligence with Software Quality Metrics | 1-gen-2022 | Cascavilla, G.; Catolino, G.; Ebert, F.; Tamburri, D. A.; van den Heuvel, W J | |
| A blessing in disguise? Assessing the Relationship between Code Smells and Sustainability | 1-gen-2020 | Catolino, G. | |
| A Catalog of Fairness-Aware Practices in Machine Learning Engineering | 1-gen-2025 | Voria, G.; Sellitto, G.; Ferrara, C.; Abate, F.; De Lucia, A.; Ferrucci, F.; Catolino, G.; Palomba, F. | |
| A compositional model for effort-aware Just-In-Time defect prediction on android apps | 1-gen-2022 | Zhao, Ks; Xu, Z; Yan, M; Xue, L; Li, W; Catolino, G | |
| A Multivocal Literature Review of MLOps Tools and Features | 1-gen-2022 | Recupito, Gilberto; Pecorelli, Fabiano; Catolino, Gemma; Moreschini, Sergio; Nucci, Dario Di; Palomba, Fabio; Tamburri, Damian A. | |
| A Set of Metrics for the Effort Estimation of Mobile Apps | 1-gen-2017 | Catolino, Gemma; Salza, Pasquale; Gravino, Carmine; Ferrucci, Filomena | |
| An Empirical Investigation Into the Influence of Software Communities’ Cultural and Geographical Dispersion on Productivity | 1-gen-2024 | Lambiase, S.; Catolino, G.; Pecorelli, F.; Tamburri, D. A.; Palomba, F.; Van Den Heuvel, W. -J.; Ferrucci, F. | |
| An Empirical Study of Social Debt in Open-Source Projects: Social Drivers and the “Known Devil” Community Smell | 1-gen-2024 | Chen, H. -M.; Kazman, R.; Catolino, G.; Manca, M.; Tamburri, D.; van de Heuvel, W. -J. | |
| An Empirical Study on the Relation Between Programming Languages and the Emergence of Community Smells | 1-gen-2024 | Annunziata, G.; Ferrara, C.; Lambiase, S.; Palomba, F.; Catolino, G.; Ferrucci, F.; De Lucia, A. | |
| An extensive evaluation of ensemble techniques for software change prediction | 1-gen-2019 | Catolino, Gemma; Ferrucci, Filomena | |
| Community Smell Detection and Refactoring in SLACK: The CADOCS Project | 1-gen-2022 | Voria, Gianmario; Pentangelo, Viviana; Porta, Antonio Della; Lambiase, Stefano; Catolino, Gemma; Palomba, Fabio; Ferrucci, Filomena | |
| Cross-Project Just-in-Time Bug Prediction for Mobile Apps: An Empirical Assessment | 1-gen-2019 | Catolino, G; Di Nucci, D; Ferrucci, F | |
| Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice | 1-gen-2024 | Lambiase, Stefano; Catolino, Gemma; Piana, Bice Della; Ferrucci, Filomena; Palomba, Fabio | |
| Developer-Related Factors in Change Prediction: An Empirical Assessment | 1-gen-2017 | Catolino, Gemma; Palomba, Fabio; DE LUCIA, Andrea; Ferrucci, Filomena; Zaidman, Andy | |
| Does source code quality reflect the ratings of apps? | 1-gen-2018 | Catolino, Gemma | |
| Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding | 1-gen-2021 | Xu, Z.; Zhao, K.; Zhang, T.; Fu, C.; Yan, M.; Xie, Z.; Zhang, X.; Catolino, G. | |
| Effort-oriented methods and tools for software development and maintenance for mobile apps | 1-gen-2018 | Catolino, Gemma | |
| Enhancing change prediction models using developer-related factors | 1-gen-2018 | Catolino, Gemma; Palomba, Fabio; De Lucia, Andrea; Ferrucci, Filomena; Zaidman, Andy | |
| Ensemble techniques for software change prediction: A preliminary investigation | 1-gen-2018 | Catolino, Gemma; Ferrucci, Filomena | |
| Examining the impact of bias mitigation algorithms on the sustainability of ML-enabled systems: A benchmark study | 1-gen-2025 | De Martino, Vincenzo; Voria, Gianmario; Troiano, Ciro; Catolino, Gemma; Palomba, Fabio |