7 papers
A Defect is Being Born: How Close Are We? A Time Sensitive Forecasting Approach
Mikel Robredo, Matteo Esposito, Fabio Palomba +2
Background. Defect prediction has been a highly active topic among researchers in the Empirical Software Engineering field. Previous literature has successfully achieved the most a…
SQuaD: The Software Quality Dataset
Mikel Robredo, Matteo Esposito, Davide Taibi +2
Software quality research increasingly relies on large-scale datasets that measure both the product and process aspects of software systems. However, existing resources often focus…
What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects
Mikel Robredo, Matteo Esposito, Fabio Palomba +2
Context. Code refactoring improves software quality without changing external behavior. Despite its advantages, its benefits are hindered by the considerable cost of time, resource…
On the correlation between Architectural Smells and Static Analysis Warnings
Matteo Esposito, Mikel Robredo, Francesca Arcelli Fontana +1
Background. Software quality assurance is essential during software development and maintenance. Static Analysis Tools (SAT) are widely used for assessing code quality. Architectur…
Autonomic Microservice Management via Agentic AI and MAPE-K Integration
Matteo Esposito, Alexander Bakhtin, Noman Ahmad +4
While microservices are revolutionizing cloud computing by offering unparalleled scalability and independent deployment, their decentralized nature poses significant security and m…
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…