A systematic mapping study on cross-project defect prediction
This study identifies inconsistencies in research practices for cross-project defect prediction, highlighting challenges in comparing methods for software engineering practitioners.
The authors conducted a systematic mapping study on cross-project defect prediction, analyzing 50 publications to summarize approaches and case study setups, but found significant heterogeneity in data, classifiers, and metrics prevented qualitative comparisons of performance.
Cross-Project-Defect Prediction as a sub-topic of defect prediction in general has become a popular topic in research. In this article, we present a systematic mapping study with the focus on CPDP, for which we found 50 publications. We summarize the approaches presented by each publication and discuss the case study setups and results. We discovered a great amount of heterogeneity in the way case studies are conducted, because of differences in the data sets, classifiers, performance metrics, and baseline comparisons used. Due to this, we could not compare the results of our review on a qualitative basis, i.e., determine which approaches perform best for CPDP.