activity
20232026
most citedA Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering

2 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SE2026

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…

cs.SE2025

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…

cs.SE2025★ 2 cited

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…

cs.SE2025★ 2 cited

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…

cs.SE2024

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…

cs.SE2024

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…

cs.SE2023

Ignoring Time Dependence in Software Engineering Data. A Mistake

Mikel Robredo, Nyyti Saarimaki, Rafael Penaloza +1

Researchers often delve into the connections between different factors derived from the historical data of software projects. For example, scholars have devoted their endeavors to…