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 parameter 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 performance on the fitting ability of proposed model.
Software reliability Semi-parametric approach Mixed gamma model Bayesian estimation MCMC
HIROYUKI OKAMURA TAKUMI IRATA TADASHI DOHI
Department of Information Engineering, Graduate School of Engineering, Higashi-Hiroshima 7398527 Japan
国际会议
北京
英文
390-396
2011-06-20(万方平台首次上网日期,不代表论文的发表时间)