Abstract
With the development and improvement of technology and the progress of the theory of project management, software risk management plays a more and more important role in modern project management. In order to enhance the accuracy and objectivity of the software risk assessment, we propose a software project risk assessment method in this paper. By building a software risk assessment model, using principal components analysis for dimensionality reduction of multiple risk factors, and the fuzzy neural network is used to predict the total risk of the project. The simulation results show that, the method can effectively evaluate the risk of software project, has strong objectivity in combining the expertise at the same time, it can provide effective support for the risk management of the project, improve the success rate of software projects. Keywords—Software risk assessment; Principal components analysis; Assessment index; Fuzzy neural network
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