역-레일리와 레일리 분포 특성을 이용한 유한고장 NHPP모형에 근거한 소프트웨어 신뢰성장 모형에 관한 비교연구
A Comparative Study of Software finite Fault NHPP Model Considering Inverse Rayleigh and Rayleigh Distribution Property
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The inverse Rayleigh model distribution and Rayleigh distribution model were widelyused in the field of reliability station. In this paper applied using the finite failure NHPPmodels in order to growth model. In other words, a large change in the course of thesoftware is modified, and the occurrence of defects is almost inevitable reality. Finite failure NHPP software reliability models can have, in the literature, exhibit eitherconstant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Inthis paper, proposes the inverse Rayleigh and Rayleigh software reliability growth model,which made out efficiency application for software reliability. Algorithm to estimate theparameters used to maximum likelihood estimator and bisection method, model selectionbased on mean square error (MSE) and coefficient of determination(R²), for the sake ofefficient model, were employed. In order to insurance for the reliability of data, Laplacetrend test was employed. In many aspects, Rayleigh distribution model is more efficient than the reverse-Rayleighdistribution model was proved. From this paper, software developers have to consider thegrowth model by prior knowledge of the software to identify failure modes which can helped.
Abstract
The inverse Rayleigh model distribution and Rayleigh distribution model were widelyused in the field of reliability station. In this paper applied using the finite failure NHPPmodels in order to growth model. In other words, a large change in the course of thesoftware is modified, and the occurrence of defects is almost inevitable reality. Finite failure NHPP software reliability models can have, in the literature, exhibit eitherconstant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Inthis paper, proposes the inverse Rayleigh and Rayleigh software reliability growth model,which made out efficiency application for software reliability. Algorithm to estimate theparameters used to maximum likelihood estimator and bisection method, model selectionbased on mean square error (MSE) and coefficient of determination(R²), for the sake ofefficient model, were employed. In order to insurance for the reliability of data, Laplacetrend test was employed. In many aspects, Rayleigh distribution model is more efficient than the reverse-Rayleighdistribution model was proved. From this paper, software developers have to consider thegrowth model by prior knowledge of the software to identify failure modes which can helped.
참고문헌 (18)
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