This work was supported in part by the National Natural Science Foundation of China under Grant No. 61272111. To carry out the study of the ranking-oriented cross-project defect prediction, we retrieved and collected 34 releases from 10 open-source software projects written in Java. For researchers who are interested in this dataset, you can feel free to download and use it. Also, if you think that it is useful for your work, please help cite the following paper.
Feng Wang, Jinxiao Huang, and Yutao Ma. A Top-k Learning to Rank Approach to Cross-Project Software Defect Prediction. In Proceedings of the 25th Asia-Pacific Software Engineering Conference (APSEC 2018), pp. 335-344, 2018.