Semi-Parametric Approach for Software Reliability Evaluation Using Mixed Gamma Distributions

This paper proposes a semi-parametric software reliability model (SRM) based on a mixed gamma distribution, so-called the mixed gamma SRM. In addition, we develop the param-eter estimation method for the mixed gamma SRM. Concretely, the estimation method is based on the Bayesian estimation and the parameter estimation algorithm is described by MCMC (Markov chain Monte Carlo) method with grouped data. In numerical experiment, we compare the mixed gamma SRM with several parametric SRMs, and examine the per-formance on the tting ability of proposed model