Simulation Methods for Parameter Estimation of Inflection S-Shaed Software Reliability Growth Model
The inflection S-shaped software reliability growth model (SRGM) proposed by Ohba(1984) is one of the most commonly used SRGM. One purpose of this paper is to estimate the parameters of Ohbas SRGM by applying the Markov chain Monte Carlo techniques to carry out a Bayesian estimation procedures. This paper also considers the optimal software release problem with regard to the expected software cost under this model based on the Bayesian approach. The proposed methods are shown to be quite flexible in many situations and the statistical inference for unknown parameters of interests is readily obtained. Numerical examples are given using the simulated data as well as the real data.
SRGM failure detection rate inflection rate gibbs sampling metropolis-Hastings algorithm prior and posterior distribution optimal software release expected software cost
Hee Soo Kimz Dong Ho Park Shigeru Yamada
Department of Social Systems Engineering, Faculty of Engineering Tottori University, Japan Department of Information and Statistics, Hallym University, Korea
国际会议
The First International Conference on Maintenance Engineering(首届维修工程国际学术会议)
成都
英文
610-618
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）