Software Reliability Growth Model based on Fuzzy Wavelet Neural Network

摘要

Back-propagation neural network (BPNN) for software reliability prediction has the problem of network architecture difficult to determine. We want to solve the problem and further increase the prediction accuracy of the model. We use phase space reconstruction technology and the fuzzy wavelet neural network (FWNN), and present the software reliability growth model based on fuzzy wavelet neural network (FWNN-SRGM). The experimental results show that the presented method can easily determine the network architecture according to failure data. The prediction accuracy of FVVNN-SRGM is better than that of the widely used BPNN-SRGM.