A comparative study to benchmark cross-project defect prediction approaches

Abstract

Cross-Project Defect Prediction (CPDP) as a means to focus quality assurance of software projects was under heavy investigation in recent years. However, within the current state-of-the-art it is unclear which of the many proposals performs best due to a lack of replication of results and diverse experiment setups that utilize different performance metrics and are based on different underlying data. Within this article [2, 3], we provide a benchmark for CPDP. Our benchmark replicates 24 CPDP approaches proposed by researchers between 2008 and 2015. Through our benchmark, we answer the following research questions: