Earticle

초록

영어

Software reliability is one of the most elementary and important problems in software development In order to find the software failure occurrence, the instantaneous failure rate function in the Poisson process can have a constant, incremental or decreasing tendency independently of the failure time. In this study, we compared the reliability performance of the software reliability model using the parameters of Pareto life distribution with the intensity decreasing pattern and the shape parameter of Erlang life distribution with the intensity increasing and decreasing pattern in the software product testing. In order to identify the software failure environment, the parametric estimation was applied to the maximum likelihood estimation method. Therefore, in this paper, we compare and evaluate software reliability by applying software failure time data. The reliability of the Erlang and Pareto life models is shown to be higher than that of the Pareto lifetime distribution model when the shape parameter is higher and the Erlang model is more reliable when the shape parameter is higher. Through this study, the software design department will be able to help the software design by applying various life distribution and shape parameters, and providing basic knowledge using software failure analysis.

목차

Abstract
 1. 서론
 2. 기본 연구
  2.1 어랑 분포
  2.2 파레토 분포
 3. 유한고장 NHPP 유한고장 모형
  3.1 어랑 분포 NHPP 모형
  3.2 파레토 분포 NHPP 모형
 4. 소프트웨어 고장시간을 이용한 신뢰성 분석
 5. 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