곰페르츠형 형상모수에 근거한 소프트웨어 신뢰성모형에 대한 비교연구
The Comparative Study based on Gompertz Software Reliability Model of Shape Parameter
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Finite failure NHPP software reliability models presented in the literature exhibit eitherconstant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Inthis paper, proposes the Gompertz distribution reliability model, which made out efficiencyapplication for software reliability. Algorithm to estimate the parameters used to maximumlikelihood estimator and bisection method, model selection based on mean square error(MSE) and coefficient of determination(R²), for the sake of efficient model, was employed. Analysis of failure using real data set for the sake of proposing fixed shape parameter of theGompertz distribution was employed. This analysis of failure data compared with theGompertz distribution model of shape parameter. In order to insurance for the reliability ofdata, Laplace trend test was employed. In this study, the proposed Gompertz model is more efficient in terms of reliability in thisarea. Thus, Gompertz model can also be used as an alternative model. From this paper,software developers have to consider the growth model by prior knowledge of the softwareto identify failure modes which can was helped
Abstract
Finite failure NHPP software reliability models presented in the literature exhibit eitherconstant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Inthis paper, proposes the Gompertz distribution reliability model, which made out efficiencyapplication for software reliability. Algorithm to estimate the parameters used to maximumlikelihood estimator and bisection method, model selection based on mean square error(MSE) and coefficient of determination(R²), for the sake of efficient model, was employed. Analysis of failure using real data set for the sake of proposing fixed shape parameter of theGompertz distribution was employed. This analysis of failure data compared with theGompertz distribution model of shape parameter. In order to insurance for the reliability ofdata, Laplace trend test was employed. In this study, the proposed Gompertz model is more efficient in terms of reliability in thisarea. Thus, Gompertz model can also be used as an alternative model. From this paper,software developers have to consider the growth model by prior knowledge of the softwareto identify failure modes which can was helped
참고문헌 (18)
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