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자료유형
학술저널
저자정보
(Namseoul Univ.) (Namseoul University)
저널정보
한국데이터전략학회 Journal of Information Technology Applications & Management Journal of Information Technology Applications & Management Vol.24 No.1
발행연도
수록면
25 - 32 (8page)

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초록· 키워드

For repairable software systems, the Mean Time Between Failure (MTBF) is used as a measure of software system stability. Therefore, the evaluation of software reliability requirements or reliability characteristics can be applied MTBF. In this paper, we want to compare MTBF in terms of parameter estimation using Makeham life distribution. The parameter estimates used the least square method which is regression analyzer method and the maximum likelihood method. As a result, the MTBF using the least square method shows a non-decreased pattern and case of the maximum likelihood method shows a non-increased form as the failure time increases. In comparison with the observed MTBF, MTBF using the maximum likelihood estimation is smallerd about difference of interval than the least square estimation which is regression analyzer method. Thus, In terms of MTBF, the maximum likelihood estimation has efficient than the regression analyzer method. In terms of coefficient of determination, the mean square error and mean error of prediction, the maximum likelihood method can be judged as an efficient method.
#Software Reliability #NHPP #Makeham Life Distribution #Mean Time Between Failure
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목차

  1. Abstract
  2. 1. 서론
  3. 2. 메이크헴 분포 모형
  4. 3. 소프트웨어 MTBF와 고장시간 특성 분석
  5. 4. 결론
  6. References

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UCI(KEPA) : I410-ECN-0101-2017-005-002410288