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Advances in Bayesian Software Reliability Modeling
Fabrizio Ruggeri, Refik Soyer
165 - 176
Advances in Mathematical Modeling for Reliability
Abstract

This paper reviews recent developments in Bayesian software reliability modeling. In so doing, emphasis is given to two models which can incorporate the case of reliability deterioration due to potential introduction of new bugs to the software during the development phase. Since the introduction of bugs is an unobservable process, latent variables are introduced to incorporate this characteristic into the models. The two models are based, respectively, on a hidden Markov model and a self-exciting point process with latent variables.

$35.00 / €27.50 / £22.00
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