지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.12
- 수록면
- 451 - 458 (8page)
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초록· 키워드
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Infinite failure non-homogenous Poisson process (NHPP) software reliability models presented in the literature exhibit either constant, monotonic increasing, or monotonic decreasing failure occurrence rates per fault. In this paper, comparison problems of the log-linear intensity function widely used in the field of reliability and the log-power intensity function of the reliability growth model are presented. The software failure situation was used in the infinite failure non-homogeneous Poisson process model. An algorithm to estimate the parameters was used for a maximum likelihood estimator and a bisection method. A model selection based on mean square error and coefficient of determination for the sake of an efficient model was employed. For analysis of software failure data, the log-linear model and log-power model were compared. In order to ensure the reliability of software failure data, a Laplace trend test was employed.
목차
Abstract
Introduction
Related Research
Software Reliability NHPP Model using Log-Linear and Log-PowerIntensity Functions
Model Comparison with a Real Data Set
Application
Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2016-505-001069568