DCI

DCI (Detecting behavioral changes in CI) is a dataset comprising 60 commits selected from 6 notable open source Java projects. This dataset is curated to benchmark an approach that detects behavioral changes in commits, specifically focusing on changes that affect the behavior of unit tests. The dataset is used to evaluate the effectiveness of DCI in generating test methods that capture the behavioral differences between pre-commit and post-commit versions of the program. The dataset ensures that each commit introduces a behavioral change and includes a human-written test case that detects this change, serving as a ground truth for analysis. The application of DCI aims to enhance the quality assurance process in continuous integration by automatically generating relevant test cases for each commit.