Variational Bayesian Approach for Exponential Software Reliability Model

H. Okamura, T. Sakoh, and T. Dohi (Japan)


Software Reliability, Parameter Estimation, Varia tional Bayesian Approach, Exponential Model, Non Homogeneous Poisson Process


In this paper we develop a novel parameter estimation al gorithm for the well-known exponential software reliabil ity model based on the non-homogeneous Poisson process. More speci´Čücally, an approximate solution algorithm is provided within a framework of variational Bayesian ap proach, where the Bayesian parameter estimation can be drastically improved in terms of computation effort. In a numerical example, we show the effectiveness of the proposed algorithm and investigate its approximate perfor mance by comparing with the exact solution.

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