Kernel CCA Based Transfer Learning for Software Defect Prediction
Ying Ma, Shunzhi Zhu, Yumin Chen, Jingjing Li · IEICE Transactions on Information and Systems · 2017
An transfer learning method, called Kernel Canonical Correlation Analysis plus (KCCA+), is proposed for heterogeneous Cross-company defect prediction. Combining the kernel method and transfer learning techniques, this method improves the performance of the predictor with more adaptive ability in nonlinearly separable scenarios. Experiments validate its effectiveness.