基于Bayes网的软件失效预测模型

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 furtction 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 involving complex variant factors.In the paper,software failure predication model based oft 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.

Software Failure Predication Model Based on 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 involving 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.