Lifecycle-based software defect prediction technology
Lirong Chen · Jisuanji gongcheng yu sheji · 2009
To ensure software reliability and software quality,lifecycle-based software defect prediction models using PCA-BP neural network is presented. Metrics are selected according to the relevant standard and the experience of engineering practice. Special flight command software's metrics are measured and some prediction results are presented. The prediction results show that PCA-BP neural network has better astringency and precision than BP neural network.