Software Risk Assessment Method based on Fuzzy Neural Network
- DOI
- 10.2991/csic-15.2015.38How to use a DOI?
- Keywords
- Software risk assessment, Principal components analysis, Assessment index, Fuzzy neural network
- 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.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hua Wang AU - Ben Wang AU - Longyong You AU - Wentong Zhang PY - 2015/07 DA - 2015/07 TI - Software Risk Assessment Method based on Fuzzy Neural Network BT - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication PB - Atlantis Press SP - 159 EP - 162 SN - 2352-538X UR - https://doi.org/10.2991/csic-15.2015.38 DO - 10.2991/csic-15.2015.38 ID - Wang2015/07 ER -