文章基本信息

标题：Analysis of Software Reliability Data using Exponential Power Model
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作者：Ashwini Kumar Srivastava ; Vijay Kumar
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：2
DOI：10.14569/IJACSA.2011.020208
出版社：Science and Information Society (SAI)
摘要：In this paper, Exponential Power (EP) model is proposed to analyze the software reliability data and the present work is an attempt to represent that the model is as software reliability model. The approximate MLE using Artificial Neural Network (ANN) method and the Markov chain Monte Carlo (MCMC) methods are used to estimate the parameters of the EP model. A procedure is developed to estimate the parameters of the EP model using MCMC simulation method in OpenBUGS by incorporating a module into OpenBUGS. The R functions are developed to study the various statistical properties of the proposed model and the output analysis of MCMC samples generated from OpenBUGS. A real software reliability data set is considered for illustration of the proposed methodology under informative set of priors.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; EP model; Probability density; function; Cumulative density function; Hazard rate function; Reliability function; Parameter estimation; MLE; Bayesian estimation.