Jul 3, 2019 · We found that models built using numeric contextual information correctly predicted 19 k co-changes covering 24.62% of all possible co-changes ...
We conclude that contextual information is an important source for supporting change prediction and may be used to warn developers when they are about to miss ...
We conclude that contextual information is an important source for supporting change prediction and may be used to warn developers when they are about to miss ...
Bavota, G., Dit, B., Oliveto, R., et al. (2013). An empirical study on the developers' perception of software coupling. Proc - Int Conf Softw Eng, 692–701.
... the raw data from Apache Projects and R scripts from our paper: "Are Pieces of Contextual Information Suitable for Predicting Co-Changes? An Empirical Study"
Overall, we found that contextual information extracted from issues, developers' communication, and commit metadata enables a highly accurate prediction of co- ...
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Pieces of contextual information suitable for predicting co-changes? An empirical study. December 2019 · Software Quality Journal. Igor ...
Using contextual information to predict co-changes · An Empirical Study of the Relation Between Strong Change Coupling and Defects Using History and Social ...
Are Pieces of Contextual Information Suitable for Predicting Co-Changes? An Empirical Study has been accepted for publication in Software Quality Journal.
Pieces of contextual information suitable for predicting co-changes? An empirical study. Igor Scaliante Wiese, Rodrigo Takashi Kuroda, Igor Steinmacher ...