计算机科学
計算機科學
계산궤과학
COMPUTER SCIENCE
2003年
6期
162-164
,共3页
白成刚%俞蒙槐%胡上序%蔡开元
白成剛%俞矇槐%鬍上序%蔡開元
백성강%유몽괴%호상서%채개원
Software failure%Bayesian network%Markov Bayesian network
Owing to the complexity of software development,the software reliability model should not only have the capability of dealing with multiple complex factors,but also provide the function of flexibility in construction. So far, no software reliability model is universally applicable. The main reason for this is of too many conditions, thus making software reliability models introvert. Bayesian network is a powerful tool for solving this problem, which exhibits strong adaptability in dealing with problems revolving complex variant factors. In the paper,software failure predication model based on Markov. Bayesian network is established and analyzed thoroughly. Then a method of solving the model is given. Finally,through an example the validity of the model is validated.
