基于主成分分析和神经网络的软件项目风险评估

With the development of software industry, the risk of software project attracts extensive attention increasingly within the industry. Due to there be feature, which is typical nonlinear of risk assessment of software project, therefore, the paper make risk evaluation by way of applying neural network. And meanwhile, there are so many related factors, which can affect risk of software project, here we simplify dimension of data by conduct principal component analysis. By study the case of a practical application in a software company, we found that, evaluation model predict accurately and has a high practical value by combining use of principal component analysis and neural network.