Research on Bayesian network improved by EM-GA and its application
基于EM-GA改进贝叶斯网络的研究及应用*

In order to solve the problem of incomplete data and complex relations among influencing factors which may appear in the software risk analysis, this paper presented a software project risk analysis process based on Bayesian networks which has been improved. Firstly, presented a EM-GA algorithm based on genetic algorithm. Then, used the algorithm to optimize the Bayesian networks structures and solve Bayesian parameter learning. Finally, the experiment results show this algorithm provide a new method for software project risk analysis process.