Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning

It can be concluded that (1) deep representations are promising for SDP compared with traditional software metrics, (2) TSE is more effective for addressing the class-imbalance problem in SDP compared with classic ensemble learning methods, and (3) the proposed SDAEsTSE is significantly effective for SDP.