In traditional Bayesian software reliability models,it was assume that all probabilities are precise.In practical applications the parameters of the probability distributions are often under uncertainty due to strong dependence on subjective information of experts' judgments on sparse statistical data.In this paper,a quasi-Bayesian software reliability model using interval-valued probabilities to clearly quantify experts' prior beliefs on possible intervals of the parameters of the probability distributions...
【英文摘要】
In traditional Bayesian software reliability models,it was assume that all probabilities are precise.In practical applications the parameters of the probability distributions are often under uncertainty due to strong dependence on subjective information of experts' judgments on sparse statistical data.In this paper,a quasi-Bayesian software reliability model using interval-valued probabilities to clearly quantify experts' prior beliefs on possible intervals of the parameters of the probability distributions...
【基金】
supported by the National High-Technology Research and Development Program of China (Grant Nos.2006AA01Z187,2007AA040605)
【更新日期】
2009-08-21
【分类号】
O213.2
【正文快照】
Introduction In the past,a number of analytical models have been proposed to address the problem of software reliability assessment[1?2]. The majority of these models follow the non-Bayesian statistical point of view,in which the model parameters are cons
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