Vincenzo De Martino
Orcid: 0000-0003-1485-4560
According to our database1,
Vincenzo De Martino
authored at least 12 papers
between 2023 and 2025.
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Bibliography
2025
CoRR, August, 2025
Examining the impact of bias mitigation algorithms on the sustainability of ML-enabled systems: A benchmark study.
J. Syst. Softw., 2025
Into the ML-Universe: An improved classification and characterization of machine-learning projects.
J. Syst. Softw., 2025
Classification and challenges of non-functional requirements in ML-enabled systems: A systematic literature review.
Inf. Softw. Technol., 2025
A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering.
Proceedings of the IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering, 2025
Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2025
2024
Experiences from Using LLMs for Repository Mining Studies in Empirical Software Engineering.
CoRR, 2024
Proceedings of the Joint Proceedings of RCIS 2024 Workshops and Research Projects Track co-located with the 18th International Conferecence on Research Challenges in Information Science (RCIS 2024), 2024
Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet?
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
Accelerating 3D Scene Development for the Metaverse: Lessons from Photogrammetry and Manual Modeling.
Proceedings of the 2nd International Conference on Intelligent Metaverse Technologies & Applications, 2024
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024
2023
Classification, Challenges, and Automated Approaches to Handle Non-Functional Requirements in ML-Enabled Systems: A Systematic Literature Review.
CoRR, 2023