Using Structural Holes Metrics from Communication Networks to Predict Change Dependencies. - Igor Scaliante Wiese; Rodrigo Takashi Kuroda; Douglas Nassif Roma Junior; Reginaldo Ré; Gustavo Ansaldi Oliva; Marco Aurélio Gerosa (CRIWG, 2014)

An Empirical Study of the Relation Between Strong Change Coupling and Defects Using History and Social Metrics in the Apache Aries Project. - Igor Scaliante Wiese; Rodrigo Takashi Kuroda; Reginaldo Ré; Gustavo Ansaldi Oliva; Marco Aurélio Gerosa (OSS, 2015)

Predicting Change Propagation from Repository Information. - Igor Scaliante Wiese; Reginaldo Ré; Igor Steinmacher; Rodrigo Takashi Kuroda; Gustavo Ansaldi Oliva; Marco Aurélio Gerosa (SBES, 2015)

Using contextual information to predict co-changes. - Igor Scaliante Wiese; Reginaldo Ré; Igor Steinmacher; Rodrigo Takashi Kuroda; Gustavo Ansaldi Oliva; Christoph Treude; Marco Aurélio Gerosa (J. Syst. Softw., 2017)

Pieces of contextual information suitable for predicting co-changes? An empirical study. - Igor Scaliante Wiese; Rodrigo Takashi Kuroda; Igor Steinmacher; Gustavo Ansaldi Oliva; Reginaldo Ré; Christoph Treude; Marco Aurélio Gerosa (Softw. Qual. J., 2019)