Abstract:

This paper presents a quasi-Bayesian inferential algorithm for software reliability analysis based on imprecise probabilities, which replaces the prec  ise probabilities in standard Bayesian approaches with interval-valued probabilities. The suggested algorithm properly reflects uncertainties in expert   opinions on software reliability in the absence of complete evidence,and avoids making arbitrary assumptions. The practical application of the algorithm  to a component＇s reliability analysis proves that it is able to converge on the better model parameters quickly with a small sample size.

Key words: software reliability, quasi-Bayesian analysis, imprecise probability