Earticle

초록

영어

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.

목차

Abstract
 1. 서론
 2. 메이크헴 분포 모형
  2.1 최우추정법을 이용한 MTBF 추정
  2.2 최소자승법을 이용한 MTBF 추정
  2.3 효율적 모형을 위한 판단 기준
 3. 소프트웨어 MTBF와 고장시간 특성분석
 4. 결론
 References

키워드

저자

• 김희철 [ Hee Cheul Kim | Namseoul Univ., Dept. of Industrial & Management Engineering, Professor ]
• 문송철 [ Song Chul Moon | Professor, Department of Computer Science, Namseoul University ] 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