2 citations · 2 across the 1 of their papers we have counts for
4 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…
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…