Mikel Robredo

According to our database, Mikel Robredo authored at least 18 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

On the correlation between architectural smells and static analysis warnings.

Matteo Esposito, Mikel Robredo, Francesca Arcelli Fontana, Valentina Lenarduzzi

Softw. Qual. J., December, 2025

Hidden in Plain Sight: Where Developers Confess Self-Admitted Technical Debt.

Murali Sridharan, Mikel Robredo, Leevi Rantala, Matteo Esposito, Valentina Lenarduzzi, Mika Mäntylä

CoRR, November, 2025

Does microservice adoption impact the velocity? A cohort study.

Nyyti Saarimäki, Mikel Robredo, Valentina Lenarduzzi, Sira Vegas, Natalia Juristo, Davide Taibi

Empir. Softw. Eng., October, 2025

What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects.

Mikel Robredo, Matteo Esposito, Fabio Palomba, Rafael Peñaloza, Valentina Lenarduzzi

CoRR, September, 2025

Replication Package of the TOSEM Journal Article: "What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects".

Mikel Robredo, Matteo Esposito, Fabio Palomba, Rafael Peñaloza, Valentina Lenarduzzi

Dataset, August, 2025

Replication Package of the EMSE Journal Article: "In Search of Metrics to Guide Developer-Based Refactoring Recommendations".

Mikel Robredo, Matteo Esposito, Fabio Palomba, Rafael Peñaloza, Valentina Lenarduzzi

Dataset, May, 2025

Replication Package of the EMSE Journal Article: "Analyzing the Ripple Effects of Refactoring".

Mikel Robredo, Matteo Esposito, Fabio Palomba, Rafael Peñaloza, Valentina Lenarduzzi

Dataset, April, 2025

Official Replication Package of the EMSE Journal Article: "Does Microservice Adoption Impact the Velocity? A Cohort Study".

Nyyti Saarimäki, Mikel Robredo, Valentina Lenarduzzi, Sira Vegas, Natalia Juristo Juzgado, Davide Taibi

Dataset, March, 2025

Replication package for the Journal of Systems and Software (JSS) submitted article : "Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction".

Mikel Robredo, Nyyti Saarimäki, Matteo Esposito, Davide Taibi, Rafael Peñaloza, Valentina Lenarduzzi

Dataset, March, 2025

A Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering.

Matteo Esposito, Mikel Robredo, Murali Sridharan, Guilherme Horta Travassos, Rafael Peñaloza, Valentina Lenarduzzi

CoRR, January, 2025

Evaluating time-dependent methods and seasonal effects in code technical debt prediction.

Mikel Robredo, Nyyti Saarimäki, Matteo Esposito, Davide Taibi, Rafael Peñaloza, Valentina Lenarduzzi

J. Syst. Softw., 2025

Autonomic Microservice Management via Agentic AI and MAPE-K Integration.

Matteo Esposito, Alexander Bakhtin, Noman Ahmad, Mikel Robredo, Ruoyu Su, Valentina Lenarduzzi, Davide Taibi

Proceedings of the Software Architecture. ECSA 2025 Tracks and Workshops, 2025

2024

Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction.

Mikel Robredo, Nyyti Saarimäki, Davide Taibi, Rafael Peñaloza, Valentina Lenarduzzi

CoRR, 2024

In Search of Metrics to Guide Developer-Based Refactoring Recommendations.

Mikel Robredo, Matteo Esposito, Fabio Palomba, Rafael Peñaloza, Valentina Lenarduzzi

CoRR, 2024

Comparing Multivariate Time Series Analysis and Machine Learning Performance for Technical Debt Prediction: The SQALE Index Case.

Mikel Robredo, Nyyti Saarimäki, Rafael Peñaloza, Davide Taibi, Valentina Lenarduzzi

Proceedings of the 7th ACM/IEEE International Conference on Technical Debt, 2024

Cohort Studies for Mining Software Repositories.

Nyyti Saarimäki, Sira Vegas, Valentina Lenarduzzi, Davide Taibi, Mikel Robredo

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023

Ignoring Time Dependence in Software Engineering Data. A Mistake.

Mikel Robredo, Nyyti Saarimäki, Rafael Peñaloza, Valentina Lenarduzzi

CoRR, 2023

Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report.

Nyyti Saarimäki, Mikel Robredo, Sira Vegas, Natalia Juristo, Davide Taibi, Valentina Lenarduzzi

CoRR, 2023