Just-In-Time Bug Prediction in Mobile Applications: The Domain Matters! - Gemma Catolino (MOBILESoft@ICSE, 2017)

A Set of Metrics for the Effort Estimation of Mobile Apps. - Gemma Catolino; Pasquale Salza; Carmine Gravino; Filomena Ferrucci (MOBILESoft@ICSE, 2017)

Developer-related factors in change prediction: an empirical assessment. - Gemma Catolino; Fabio Palomba; Andrea De Lucia; Filomena Ferrucci; Andy Zaidman (ICPC, 2017)

Effort-oriented methods and tools for software development and maintenance for mobile apps. - Gemma Catolino (ICSE (Companion Volume), 2018)

Does source code quality reflect the ratings of apps? - Gemma Catolino (MOBILESoft@ICSE, 2018)

Ensemble techniques for software change prediction: A preliminary investigation. - Gemma Catolino; Filomena Ferrucci (MaLTeSQuE, 2018)

Enhancing change prediction models using developer-related factors. - Gemma Catolino; Fabio Palomba; Andrea De Lucia; Filomena Ferrucci; Andy Zaidman (J. Syst. Softw., 2018)

The Secret Life of Software Communities: What we Know and What we Don't Know. - Gemma Catolino; Fabio Palomba; Damian A. Tamburri (BENEVOL, 2019)

Cross-project just-in-time bug prediction for mobile apps: an empirical assessment. - Gemma Catolino; Dario Di Nucci; Filomena Ferrucci (MOBILESoft@ICSE, 2019)

Gender diversity and women in software teams: how do they affect community smells? - Gemma Catolino; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik; Filomena Ferrucci (ICSE-SEIS, 2019)

How the Experience of Development Teams Relates to Assertion Density of Test Classes. - Gemma Catolino; Fabio Palomba; Andy Zaidman; Filomena Ferrucci (ICSME, 2019)

Not All Bugs Are the Same: Understanding, Characterizing, and Classifying the Root Cause of Bugs. - Gemma Catolino; Fabio Palomba; Andy Zaidman; Filomena Ferrucci (CoRR, 2019)

Not all bugs are the same: Understanding, characterizing, and classifying bug types. - Gemma Catolino; Fabio Palomba; Andy Zaidman; Filomena Ferrucci (J. Syst. Softw., 2019)

An extensive evaluation of ensemble techniques for software change prediction. - Gemma Catolino; Filomena Ferrucci (J. Softw. Evol. Process., 2019)

Refactoring community smells in the wild: the practitioner's field manual. - Gemma Catolino; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik; Filomena Ferrucci (ICSE-SEIS, 2020)

A blessing in disguise? Assessing the Relationship between Code Smells and Sustainability. - Gemma Catolino (ICSME, 2020)

Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps. - Fabiano Pecorelli; Gemma Catolino; Filomena Ferrucci; Andrea De Lucia; Fabio Palomba (ICPC, 2020)

Improving change prediction models with code smell-related information. - Gemma Catolino; Fabio Palomba; Francesca Arcelli Fontana; Andrea De Lucia; Andy Zaidman; Filomena Ferrucci (Empir. Softw. Eng., 2020)

Gender Diversity and Community Smells: Insights From the Trenches. - Gemma Catolino; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik; Filomena Ferrucci (IEEE Softw., 2020)

Understanding Community Smells Variability: A Statistical Approach: Replication Package Instructions. - Gemma Catolino; Fabio Palomba; Damian Andrew Tamburri; Alexander Serebrenik (ICSE (Companion Volume), 2021)

Understanding Community Smells Variability: A Statistical Approach. - Gemma Catolino; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik (ICSE-SEIS, 2021)

Just-in-time defect prediction for Android apps via imbalanced deep learning model. - Kunsong Zhao; Zhou Xu 003; Meng Yan 001; Yutian Tang; Ming Fan 002; Gemma Catolino (SAC, 2021)

"There and Back Again?" On the Influence of Software Community Dispersion Over Productivity. - Stefano Lambiase; Gemma Catolino; Fabiano Pecorelli; Damian A. Tamburri; Fabio Palomba; Willem-Jan van den Heuvel; Filomena Ferrucci (SEAA, 2022)

A Multivocal Literature Review of MLOps Tools and Features. - Gilberto Recupito; Fabiano Pecorelli; Gemma Catolino; Sergio Moreschini; Dario Di Nucci; Fabio Palomba; Damian A. Tamburri (SEAA, 2022)

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 (ICSE-SEIS, 2022)

"When the Code becomes a Crime Scene" Towards Dark Web Threat Intelligence with Software Quality Metrics. - Giuseppe Cascavilla; Gemma Catolino; Felipe Ebert; Damien A. Tamburri; Willem-Jan van den Heuvel (ICSME, 2022)

Community Smell Detection and Refactoring in SLACK: The CADOCS Project. - Gianmario Voria; Viviana Pentangelo; Antonio Della Porta; Stefano Lambiase; Gemma Catolino; Fabio Palomba; Filomena Ferrucci (ICSME, 2022)

Illicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information. - Giuseppe Cascavilla; Gemma Catolino; Mirella Sangiovanni (SECRYPT, 2022)

Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation - A Case Study in the Netherlands. - Giuseppe Cascavilla; Gemma Catolino; Fabio Palomba; Andreas S. Andreou; Damian A. Tamburri; Willem-Jan van den Heuvel (SummerSOC, 2022)

On the Evolution of Inheritance and Delegation Mechanisms and Their Impact on Code Quality. - Giammaria Giordano; Antonio Fasulo; Gemma Catolino; Fabio Palomba; Filomena Ferrucci; Carmine Gravino (SANER, 2022)

Gender Diversity and Community Smells: A Double-Replication Study on Brazilian Software Teams. - Camila Sarmento; Tiago Massoni; Alexander Serebrenik; Gemma Catolino; Damian A. Tamburri; Fabio Palomba (SANER, 2022)

Software testing and Android applications: a large-scale empirical study. - Fabiano Pecorelli; Gemma Catolino; Filomena Ferrucci; Andrea De Lucia; Fabio Palomba (Empir. Softw. Eng., 2022)

A compositional model for effort-aware Just-In-Time defect prediction on android apps. - Kunsong Zhao; Zhou Xu 003; Meng Yan 001; Lei Xue 001; Wei Li 121; Gemma Catolino (IET Softw., 2022)

MaLTeSQuE 2021 Workshop Summary. - Daniel Feitosa; Gemma Catolino; Valentina Lenarduzzi; Apostolos Ampatzoglou (ACM SIGSOFT Softw. Eng. Notes, 2022)

Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding. - Zhou Xu 003; Kunsong Zhao; Tao Zhang 001; Chunlei Fu; Meng Yan 001; Zhiwen Xie; Xiaohong Zhang 002; Gemma Catolino (IEEE Trans. Reliab., 2022)

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 (ICSA-C, 2023)

When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning. - Giuseppe Cascavilla; Gemma Catolino; Mauro Conti; Dimos Mellios; Damian A. Tamburri (SECRYPT, 2023)

Go Serverless With RADON! A Practical DevOps Experience Report. - Stefano Dalla Palma; Gemma Catolino; Dario Di Nucci; Damian Andrew Tamburri; Willem-Jan van den Heuvel (IEEE Softw., 2023)

QuantuMoonLight: A low-code platform to experiment with quantum machine learning. - Francesco Amato; Matteo Cicalese; Luca Contrasto; Giacomo Cubicciotti; Gerardo D'Ambola; Antonio La Marca; Giuseppe Pagano; Fiorentino Tomeo; Gennaro Alessio Robertazzi; Gabriele Vassallo; Giovanni Acampora; Autilia Vitiello; et al. (SoftwareX, 2023)

Security Risk Assessment on Cloud: A Systematic Mapping Study. - Giusy Annunziata; Alexandra Sheykina; Fabio Palomba; Andrea De Lucia; Gemma Catolino; Filomena Ferrucci (EASE, 2024)

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; et al. (ESEM, 2024)

An Empirical Study on the Relation Between Programming Languages and the Emergence of Community Smells. - Giusy Annunziata; Carmine Ferrara; Stefano Lambiase; Fabio Palomba; Gemma Catolino; Filomena Ferrucci; Andrea De Lucia (SEAA, 2024)

Is Attention All You Need? Toward a Conceptual Model for Social Awareness in Large Language Models. - Gianmario Voria; Gemma Catolino; Fabio Palomba (FORGE, 2024)

An Empirical Study of Social Debt in Open-Source Projects: Social Drivers and the "Known Devil" Community Smell. - Hong-Mei Chen; Rick Kazman; Gemma Catolino; Massimo Manca; Damian Andrew Tamburri; Willem-Jan van den Heuvel (HICSS, 2024)

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 (ICSE (SEIS), 2024)

Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet? - Antonio Della Porta; Vincenzo De Martino; Gilberto Recupito; Carmine Iemmino; Gemma Catolino; Dario Di Nucci; Fabio Palomba (Ital-IA, 2024)

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 (CoRR, 2024)

Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering. - Stefano Lambiase; Gemma Catolino; Fabio Palomba; Filomena Ferrucci; Daniel Russo 002 (CoRR, 2024)

RECOVER: Toward the Automatic Requirements Generation from Stakeholders' Conversations. - Gianmario Voria; Francesco Casillo; Carmine Gravino; Gemma Catolino; Fabio Palomba (CoRR, 2024)

Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative? - Gianmario Voria; Rebecca Di Matteo; Giammaria Giordano; Gemma Catolino; Fabio Palomba (CoRR, 2024)

Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture. - Gilberto Recupito; Fabiano Pecorelli; Gemma Catolino; Valentina Lenarduzzi; Davide Taibi 001; Dario Di Nucci; Fabio Palomba (J. Syst. Softw., 2024)

Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. - Daniel Russo 002; Sebastian Baltes; Niels van Berkel; Paris Avgeriou; Fabio Calefato; Beatriz Cabrero Daniel; Gemma Catolino; Jürgen Cito; Neil A. Ernst; Thomas Fritz 001; Hideaki Hata; Reid Holmes; et al. (J. Syst. Softw., 2024)

On the adoption and effects of source code reuse on defect proneness and maintenance effort. - Giammaria Giordano; Gerardo Festa; Gemma Catolino; Fabio Palomba; Filomena Ferrucci; Carmine Gravino (Empir. Softw. Eng., 2024)

An Empirical Investigation Into the Influence of Software Communities' Cultural and Geographical Dispersion on Productivity. - Stefano Lambiase; Gemma Catolino; Fabiano Pecorelli; Damian A. Tamburri; Fabio Palomba; Willem-Jan van den Heuvel; Filomena Ferrucci (J. Syst. Softw., 2024)

"Through the looking-glass ..." An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications. - Stefano Dalla Palma; Chiel van Asseldonk; Gemma Catolino; Dario Di Nucci; Fabio Palomba; Damian A. Tamburri (J. Softw. Evol. Process., 2024)

Few Images, Many Insights: Illicit Content Detection Using a Limited Number of Images. - Giuseppe Cascavilla; Gemma Catolino; Mauro Conti; Dimos Mellios; Damian A. Tamburri (ACM Trans. Intell. Syst. Technol., 2024)

From Expectation to Habit: Why do Software Practitioners Adopt Fairness Toolkits? - Gianmario Voria; Stefano Lambiase; Maria Concetta Schiavone; Gemma Catolino; Fabio Palomba (ICSE-SEIS, 2025)

Fairness on a budget, across the board: A cost-effective evaluation of fairness-aware practices across contexts, tasks, and sensitive attributes. - Alessandra Parziale; Gianmario Voria; Giammaria Giordano; Gemma Catolino; Gregorio Robles; Fabio Palomba (Inf. Softw. Technol., 2025)

Fairness-aware practices from developers' perspective: A survey. - Gianmario Voria; Giulia Sellitto; Carmine Ferrara; Francesco Abate; Andrea De Lucia; Filomena Ferrucci; Gemma Catolino; Fabio Palomba (Inf. Softw. Technol., 2025)

Examining the impact of bias mitigation algorithms on the sustainability of ML-enabled systems: A benchmark study. - Vincenzo De Martino; Gianmario Voria; Ciro Troiano; Gemma Catolino; Fabio Palomba (J. Syst. Softw., 2025)

Contextual Fairness-Aware Practices in ML: A Cost-Effective Empirical Evaluation. - Alessandra Parziale; Gianmario Voria; Giammaria Giordano; Gemma Catolino; Gregorio Robles; Fabio Palomba (CoRR, 2025)

Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering Tasks. - Stefano Lambiase; Gemma Catolino; Fabio Palomba; Filomena Ferrucci; Daniel Russo 002 (CoRR, 2025)

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 (CoRR, 2025)

Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review. - Stefano Lambiase; Gemma Catolino; Fabio Palomba; Filomena Ferrucci (ACM Comput. Surv., 2025)

RECOVER: Toward Requirements Generation From Stakeholders' Conversations. - Gianmario Voria; Francesco Casillo; Carmine Gravino; Gemma Catolino; Fabio Palomba (IEEE Trans. Software Eng., 2025)

Uncovering Community Smells in Machine Learning-Enabled Systems: Causes, Effects, and Mitigation Strategies. - Giusy Annunziata; Stefano Lambiase; Damian A. Tamburri; Willem-Jan van den Heuvel; Fabio Palomba; Gemma Catolino; Filomena Ferrucci; Andrea De Lucia (ACM Trans. Softw. Eng. Methodol., 2025)