Gemma Catolino
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
8
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICSE | Once Upon a Team: Investigating Bias in LLM-Driven Software Team Composition and Task Allocation. | Alessandra Parziale, Gianmario Voria, Valeria Pontillo, Amleto Di Salle, Patrizio Pelliccione, Gemma Catolino, Fabio Palomba |
| 2026 | MSR | Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models. | Gianmario Voria, Moses Openja, Foutse Khomh, Gemma Catolino, Fabio Palomba |
| 2026 | SANER | SCOPE: A Dataset of Stereotyped Prompts for Counterfactual Fairness Assessment of LLMs. | Alessandra Parziale, Gianmario Voria, Valeria Pontillo, Andrea De Lucia, Gemma Catolino, Fabio Palomba |
| 2026 | SANER | Toward Measuring Prompt Quality: A Preliminary Investigation on Prompt Smells. | Antonio Della Porta, Gianmario Voria, Andrea Abbate, Raffaele Sulipano, Stefano Lambiase, Gemma Catolino, Fabio Palomba |
| 2026 | SANER | Bias Ahead: Sensitive Prompts as Early Warnings for Fairness in Large Language Models. | Gianmario Voria, Martina De Lucia, Alessandra Raia, Andrea De Lucia, Gemma Catolino, Fabio Palomba |
| 2025 | EASE | How Do Communities of ML-Enabled Systems Smell? A Cross-Sectional Study on the Prevalence of Community Smells. | Giusy Annunziata, Stefano Lambiase, Fabio Palomba, Gemma Catolino, Filomena Ferrucci |
| 2025 | EASE | A Catalog of Fairness-Aware Practices in Machine Learning Engineering. | Gianmario Voria, Giulia Sellitto, Carmine Ferrara, Francesco Abate, Andrea De Lucia, Filomena Ferrucci, Gemma Catolino, Fabio Palomba |
| 2025 | ICSE | From Expectation to Habit: Why do Software Practitioners Adopt Fairness Toolkits? | Gianmario Voria, Stefano Lambiase, Maria Concetta Schiavone, Gemma Catolino, Fabio Palomba |
| 2025 | SANER | Contextual Fairness-Aware Practices in ML: A Cost-Effective Empirical Evaluation. | Alessandra Parziale, Gianmario Voria, Giammaria Giordano, Gemma Catolino, Gregorio Robles, Fabio Palomba |
| 2024 | EASE | Security Risk Assessment on Cloud: A Systematic Mapping Study. | Giusy Annunziata, Alexandra Sheykina, Fabio Palomba, Andrea De Lucia, Gemma Catolino, Filomena Ferrucci |
| 2024 | ESEM | FRINGE: context-aware FaiRness engineerING in complex software systEms. | Fabio Palomba, Andrea Di Sorbo, Davide Di Ruscio, Filomena Ferrucci, Gemma Catolino, Giammaria Giordano, Dario Di Dario, Gianmario Voria, Viviana Pentangelo, Maria Tortorella, Arnaldo Sgueglia, Claudio Di Sipio, Giordano d'Aloisio, Antinisca Di Marco |
| 2024 | ICSE | Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice. | Stefano Lambiase, Gemma Catolino, Bice Della Piana, Filomena Ferrucci, Fabio Palomba |
| 2023 | ICSA | Architecting MLOps in the Cloud: From Theory to Practice. | Indika Kumara, Fabiano Pecorelli, Gemma Catolino, Rick Kazman, Damian Andrew Tamburri, Willem-Jan van den Heuvel |
| 2023 | SECRYPT | When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning. | Giuseppe Cascavilla, Gemma Catolino, Mauro Conti, Dimos Mellios, Damian A. Tamburri |
| 2022 | ICSE | Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells. | Stefano Lambiase, Gemma Catolino, Damian A. Tamburri, Alexander Serebrenik, Fabio Palomba, Filomena Ferrucci |
| 2022 | SECRYPT | Illicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information. | Giuseppe Cascavilla, Gemma Catolino, Mirella Sangiovanni |
| 2021 | ICSE | Understanding Community Smells Variability: A Statistical Approach: Replication Package Instructions. | Gemma Catolino, Fabio Palomba, Damian Andrew Tamburri, Alexander Serebrenik |
| 2021 | ICSE | Understanding Community Smells Variability: A Statistical Approach. | Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik |
| 2021 | SAC | Just-in-time defect prediction for Android apps via imbalanced deep learning model. | Kunsong Zhao, Zhou Xu, Meng Yan, Yutian Tang, Ming Fan, Gemma Catolino |
| 2020 | ICSE | Refactoring community smells in the wild: the practitioner's field manual. | Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci |
| 2019 | ICSE | Cross-project just-in-time bug prediction for mobile apps: an empirical assessment. | Gemma Catolino, Dario Di Nucci, Filomena Ferrucci |
| 2019 | ICSE | Gender diversity and women in software teams: how do they affect community smells? | Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci |
| 2018 | ICSE | Effort-oriented methods and tools for software development and maintenance for mobile apps. | Gemma Catolino |
| 2018 | ICSE | Does source code quality reflect the ratings of apps? | Gemma Catolino |
| 2017 | ICSE | Just-In-Time Bug Prediction in Mobile Applications: The Domain Matters! | Gemma Catolino |
| 2017 | ICSE | A Set of Metrics for the Effort Estimation of Mobile Apps. | Gemma Catolino, Pasquale Salza, Carmine Gravino, Filomena Ferrucci |