关键词: 软件可靠性预测, 泛化性能, 软件度量, 学习向量量化, 神经网络, 映射网络, Matlab仿真

Abstract: The application of traditional software prediction model has poor generalized performance. This paper put forward a software reliability prediction model based on Learning Vector Quantization (LVQ) neural network. First, this paper analyzed the structure characteristics of LVQ neural network and its relation with software reliability prediction. Then the network was used to predict the software reliability. In the end, the authors confirmed the algorithm through multiple simulation experiments under the Matlab environment and the data from Metrics Data Program (MDP) database of National Aeronautics and Space Administration （NASA） of USA. The experimental results indicate that the method is feasible and has a higher prediction precision than the traditional software prediction method.

Key words: software reliability prediction, generalized performance, software measurement, Learning Vector Quantization （LVQ）, neural network, mapping network, Matlab simulation