6 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…
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…
A Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering
Matteo Esposito, Mikel Robredo, Murali Sridharan +3
Context: Empirical Software Engineering (ESE) drives innovation in SE through qualitative and quantitative studies. However, concerns about the correct application of empirical met…
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…