Rodrigo Takashi Kuroda

An Empirical Study of the Relation Between Strong Change Coupling and Defects Using History and Social Metrics in the Apache Aries Project

Marco Aurélio Gerosa, Igor Scaliante Wiese, Gustavo Ansaldi Oliva, 2015, OSS.

Using contextual information to predict co-changes

Christoph Treude, Marco Aurélio Gerosa, Igor Steinmacher, 2017, J. Syst. Softw..

Pieces of contextual information suitable for predicting co-changes? An empirical study

Christoph Treude, Igor Steinmacher, Igor Scaliante Wiese, 2019, Software Quality Journal.

Identificação dos recursos de software que causam impacto no desempenho do perfil móvel em LDAP

Alessandro Kraemer, Rodrigo Takashi Kuroda, 2011 .

Using Structural Holes Metrics from Communication Networks to Predict Change Dependencies

Marco Aurélio Gerosa, Igor Scaliante Wiese, Gustavo Ansaldi Oliva, 2014, CRIWG.

Predicting Change Propagation from Repository Information

Marco Aurélio Gerosa, Igor Steinmacher, Igor Scaliante Wiese, 2015, 2015 29th Brazilian Symposium on Software Engineering.