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| Risk Evaluation Model for Software Projects with Neural Network |
| HU Yong, HE Xiao-Juan, HUANG Jia-Xing, RONG Zhen-Bang, XIE Kang |
| 1.Guangdong University of Foreign Studies, Guangzhou, China; 2.Sun Yatsen University, Guangzhou, China; 3.Wuyi University, Jiangmen, Guandong, China |
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Abstract The model is based on neural network approach, and the input of model is 64 risk factors which have been verified, and the output of model is the total outcome of the project. We ensure the validity of the contents of input and output and collect software project samples to construct and test the model. We divide the samples into two parts, which are used for the training and the validity test of model respectively. It is proved that the model could evaluate the total risk of software project.
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Received: 04 July 2008
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2010, Vol. 7 
