Build Prediction in Continuous Integration Using Textual Analysis of Source Code and Traditional Software Metrics

Continuous Integration (CI) systems integrate code changes committed by software developers, tests the results of the integration, and feed developers with information about the outcome of the integration and testing. Predicting the outcome of the integration is important since it reduces the feedback time between the CI system and the developers. This data-set comprises of historical code changes extracted from the TravisTorrent data-set (found in the train-lines folder) and their corresponding feature vectors (found in the train-bag-of-words folder) for Java projects. It also includes a set of files that contains historical build records and a set of traditional software metrics.