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http://dx.doi.org/10.3745/KIPSTD.2004.11D.6.1269

The Comparison of Parameter Estimation for Nonhomogeneous Poisson Process Software Reliability Model  

Kim, Hee-Cheul (한라대학교 정보통신학부)
Lee, Sang-Sik (송호대학 정보산업계열)
Song, Young-Jae (경희대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartD / v.11D, no.6, 2004 , pp. 1269-1276 More about this Journal
Abstract
The Parameter Estimation for software existing reliability models, Goel-Okumoto, Yamada-Ohba-Osaki model was reviewed and Rayleigh model based on Rayleigh distribution was studied. In this paper, we discusses comparison of parameter estimation using maximum likelihood estimator and Bayesian estimation based on Gibbs sampling to analysis of the estimator' pattern. Model selection based on sum of the squared errors and Braun statistic, for the sake of efficient model, was employed. A numerical example was illustrated using real data. The current areas and models of Superposition, mixture for future development are also employed.
Keywords
Software Reliability Model; Gibbs Sampling; Nonhomogeneous Poisson Process; ROCOF; Metropolish Algorithm; Software Reliability; Latent Variable; Sum of the Squared Errors;
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