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In this paper we show how several models used to describe the reliability of computer software can be comprehensively viewed by adopting a Bayesian point of view. We first provide an alternative motivation for a commonly used model, the Jelinski–Moranda model, using notions from shock models. We then show that some alternate models proposed in the literature can be derived by assigning specific prior distributions for the parameters of the above model. We also obtain other structural results such as stochastic inequalities and association, and discuss how these can be interpreted.
Langberg et al. (Mon,) studied this question.