Research on software defect predict model based on JCUDA_BP algorithm

摘要

For the long time computation and the poor learning effect in application of BP algorithm in software defect predict model, an improved BP algorithm is presented in this paper. The improved algorithm combines the JCUDA technology and the BP algorithm, by learning the sample decomposition, multithreading and CPU-GPU processing mode, both learning speed and predicting time are optimized for the software defect predict model based on BP algorithm. The experimental results show that the improved JCUDA_BP algorithm optimizes the learning process, especially for the larger samples. Also, when the hidden node number reaches a certain number, the effect of the optimized algorithm is much better than the traditional BP algorithm.