Classification, Challenges, and Automated Approaches to Handle Non-Functional Requirements in ML-Enabled Systems: A Systematic Literature Review. - Vincenzo De Martino; Fabio Palomba (CoRR, 2023)

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)

Accelerating 3D Scene Development for the Metaverse: Lessons from Photogrammetry and Manual Modeling. - Viviana Pentangelo; Dario Di Dario; Vincenzo De Martino; Marco Dello Buono; Stefano Lambiase (iMETA, 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)

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)

Experiences from Using LLMs for Repository Mining Studies in Empirical Software Engineering. - Vincenzo De Martino; Joel Castaño; Fabio Palomba; Xavier Franch; Silverio Martínez-Fernández (CoRR, 2024)

Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study. - Vincenzo De Martino; Silverio Martínez-Fernández; Fabio Palomba (ICSE-SEIS, 2025)

A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering. - Vincenzo De Martino; Joel Castaño; Fabio Palomba; Xavier Franch; Silverio Martínez-Fernández (WSESE@ICSE, 2025)

Classification and challenges of non-functional requirements in ML-enabled systems: A systematic literature review. - Vincenzo De Martino; 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)

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)

A Methodological Framework for LLM-Based Mining of Software Repositories. - Vincenzo De Martino; Joel Castaño; Fabio Palomba; Xavier Franch; Silverio Martínez-Fernández (CoRR, 2025)