77 citations · 238 across the 39 of their papers we have counts for
6 papers · 1 filter
Generative AI in Evidence-Based Software Engineering: A White Paper
Matteo Esposito, Andrea Janes, Davide Taibi +1
Context. In less than a year practitioners and researchers witnessed a rapid and wide implementation of Generative Artificial Intelligence. The daily availability of new models pro…
Initial Insights on MLOps: Perception and Adoption by Practitioners
Sergio Moreschi, David Hästbacka, Andrea Janes +2
The accelerated adoption of AI-based software demands precise development guidelines to guarantee reliability, scalability, and ethical compliance. MLOps (Machine Learning and Oper…
Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction
Mikel Robredo, Nyyti Saarimaki, Matteo Esposito +3
Background. Code Technical Debt (Code TD) prediction has gained significant attention in recent software engineering research. However, no standardized approach to Code TD predicti…
The Dual-Edged Sword of Technical Debt: Benefits and Issues Analyzed Through Developer Discussions
Xiaozhou Li, Matteo Esposito, Andrea Janes +1
Background. Technical debt (TD) has long been one of the key factors influencing the maintainability of software products. It represents technical compromises that sacrifice long-t…
In Search of Metrics to Guide Developer-Based Refactoring Recommendations
Mikel Robredo, Matteo Esposito, Fabio Palomba +2
Context. Source code refactoring is a well-established approach to improving source code quality without compromising its external behavior. Motivation. The literature described th…
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis
Matteo Esposito, Francesco Palagiano, Valentina Lenarduzzi +1
Context. Risk analysis assesses potential risks in specific scenarios. Risk analysis principles are context-less; the same methodology can be applied to a risk connected to health…