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The Comparative Study for Truncated Software Reliability Growth Model based on Log-Logistic Distribution  

Kim, Hee-Cheul (남서울대학교 산엽경영공학과)
Shin, Hyun-Cheul (백석문화대학 인터넷정보학부)
Publication Information
Convergence Security Journal / v.11, no.4, 2011 , pp. 85-91 More about this Journal
Abstract
Due to the large-scale application software syslmls, software reliability, software development has animportantrole. In this paper, software truncated software reliability growth model was proposed based on log-logistic distribution. According to fixed time, the intensity function, the mean value function, the reliability was estimated and the parameter estimation used to maximum likelihood. In the empirical analysis, Poisson execution time model of the existiog model in this area and the log-logistic model were compared Because log-logistic model is more efficient in tems of reliability, in this area, the log-logistic model as an alternative 1D the existiog model also were able to confim that you can use.
Keywords
Software Reliability; Non-Homogeneous Poisson Process(NHPP); Log-Logistic Distribution;
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