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http://dx.doi.org/10.3745/KIPSTD.2003.10D.5.805

The Bayesian Analysis for Software Reliability Models Based on NHPP  

Lee, Sang-Sik (송호대학 정보산업계열)
Kim, Hee-Cheul (송호대학 정보산업계열)
Kim, Yong-Jae (경희대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartD / v.10D, no.5, 2003 , pp. 805-812 More about this Journal
Abstract
This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP) and performs Bayesian inference using prior information. The failure process is analyzed to develop a suitable mean value function for the NHPP; expressions are given for several performance measure. The parametric inferences of the model using Logarithmic Poisson model, Crow model and Rayleigh model is discussed. Bayesian computation and model selection using the sum of squared errors. The numerical results of this models are applied to real software failure data. Tools of parameter inference was used method of Gibbs sampling and Metropolis algorithm. The numerical example by T1 data (Musa) was illustrated.
Keywords
Software Reliability Model; Gibbs Sampling; Nonhomogeneous Poisson Process; Logarithmic Poisson Model; Software Reliability; Sum of the Squared Errors;
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Times Cited By KSCI : 2  (Citation Analysis)
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