A benchmark study on the effectiveness of search-based data selection and feature selection for cross project defect prediction

We conclude that datasets obtained from search based approaches combined with feature selection techniques is a promising way to tackle CPDP. Especially, the performance comparison with the within project scenario encourages further investigation of our approach. However, the performance of GIS is based on high recall in the expense of a loss in precision. Using different optimization goals, utilizing other validation datasets and other feature selection techniques are possible future directions to investigate.