원문정보
A Study on the Reliability Performance Evaluation of Software Reliability Model Using Modified Intensity Function
초록
영어
In this study, we was compared the reliability performance of the software reliability model, which applied the Goel-Okumoto model developed using the exponential distribution, to the logarithmic function modifying the intensity function and the Rayleigh form. As a result, the log-type model is relatively smaller in the mean squared error compared to the Rayleigh model and the Goel-Okumoto model. The logarithmic model is more efficient because of the determination coefficient is relatively higher than the Goel-Okumoto model. The estimated determination coefficient of the proposed model was estimated to be more than 80% which is a useful model in the field of software reliability. Reliability has been shown to be relatively higher in the log-type model than the Rayleigh model and the Goel-Okumoto model as the mission time has elapsed. Through this study, software designer and users can identify the software failure characteristics using mean square error, decision coefficient. The confidence interval can be used as a basic guideline when applying the intensity function that reflects the characteristics of the lifetime distribution.
목차
1. 서론
2. 다양한 결함발생률을 고려한 NHPP 소프트웨어 신뢰성 모형
2.1 기존의 Goel-Okumoto-NHPP 모형
2.2 로그 및 Rayleigh형 강도함수를 적용한 유한고장 NHPP 모형
2.3 평균제곱오차와 결정계수 및 신뢰구간을 이용한 효율적 모형 판단 기준
3. 변형된 강도함수를 적용한 소프트웨어신뢰모형에 관한 고장시간신뢰도 분석
4. 결론
References