【摘要】 软件开发的复杂性决定了理想的软件可靠性模型既应具有包容众多复杂因素的能力,又要有构造灵活的功能。迄今为止,人们提出的众多模型,由于设定了很多近乎苛刻的条件,使它们难以具有普适性。Bayes网提供了解决这一问题的有力工具,论文就利用多重马尔可夫Bayes网建立起基于Bayes网的软件失效预测模型,并对此进行了详细的分析,给出了模型的求解步骤。最后,通过实例验证了该模型的有效性。更多还原

【Abstract】 Owing to the complexity of software development ,the software reliability model should not only have the ca-pability 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 soft-ware reliability models introvert.Bayesian network is a powerful tool for solving this problem,which exhibits strong adapt-ability in dealing with problems involving complex variant factors.In the paper,software failure predication model based on multiple 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.更多还原