A Preliminary Conceptualization and Analysis on Automated Static Analysis Tools for Vulnerability Detection in Android Apps. - Giammaria Giordano; Fabio Palomba; Filomena Ferrucci (SEAA, 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)

On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review. - Giammaria Giordano; Fabio Palomba; Filomena Ferrucci (J. Syst. Softw., 2022)

The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells. - Giammaria Giordano; Giulia Sellitto; Aurelio Sepe; Fabio Palomba; Filomena Ferrucci (SEAA, 2023)

Understanding Developer Practices and Code Smells Diffusion in AI-Enabled Software: A Preliminary Study. - Giammaria Giordano; Giusy Annunziata; Andrea De Lucia; Fabio Palomba (IWSM-Mensura, 2023)

How May Deep Learning Testing Inform Model Generalizability? The Case of Image Classification. - Giammaria Giordano; Valeria Pontillo; Giusy Annunziata; Antonio Cimino; Filomena Ferrucci; Fabio Palomba (SATToSE, 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)

Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic. - Davide La Gamba; Gerardo Iuliano; Gilberto Recupito; Giammaria Giordano; Filomena Ferrucci; Dario Di Nucci; Fabio Palomba (EASE, 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; et al. (ESEM, 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)

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; et al. (RCIS Workshops, 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)

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)

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)

Into the ML-Universe: An improved classification and characterization of machine-learning projects. - Vincenzo De Martino; Gilberto Recupito; Giammaria Giordano; Filomena Ferrucci; Dario Di Nucci; 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)

When code smells meet ML: on the lifecycle of ML-specific code smells in ML-enabled systems. - Gilberto Recupito; Giammaria Giordano; Filomena Ferrucci; Dario Di Nucci; Fabio Palomba (Empir. Softw. Eng., 2025)