Earticle

초록

영어

In this paper, I was applied the life distribution following linear failure rate distribution, Lindley distribution and Burr–Hatke exponential distribution extensively used in the arena of software reliability and were associated the reliability possessions of the software using the nonhomogeneous Poisson process with finite failure. Furthermore, the average value functions of the life distribution are non-increasing form. Case of the linear failure rate distribution (exponential distribution) than other models, the smaller the estimated value estimation error in comparison with the true value. In terms of accuracy, since Burr-Hatke exponential distribution and exponential distribution model in the linear failure rate distribution have small mean square error values, Burr-Hatke exponential distribution and exponential distribution models were stared as the well-organized model. Also, the linear failure rate distribution (exponential distribution) and Burr–Hatke exponential distribution model, which can be viewed as an effectual model in terms of goodness-of-fit because the larger assessed value of the coefficient of determination than other models. Through this study, software workers can use the design of mean square error, mean value function as a elementary recommendation for discovering software failures.

목차

Abstract
1. 서론
2. 유한고장 NHPP 소프트웨어 신뢰성 모형
2.1 수명분포가 선형 고장률분포를 따르는 NHPP소프트웨어 신뢰모형
2.2 수명분포가 Lindley분포를 따르는 NHPP소프트웨어 신뢰모형
2.3 수명분포가 Burr-Hatke 지수분포를 따르는 NHPP 소프트웨어 신뢰모형
3. 수명분포가 지수형 수명분포로 따르는 소프트웨어 고장시간 신뢰도 분석
4. 결론
References

키워드

저자

• 김희철 [ Hee Cheul Kim | Funding for this paper was provided by Namseoul University year 2021. ] First Author
• 문송철 [ Song Chul Moon | Professor, Namseoul Univ. Dept. Computer Software ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005