Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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The Assessing Comparative Study for Statistical Process Control of Software Reliability Model Based on Logarithmic Learning Effects

대수형 학습효과에 근거한 소프트웨어 신뢰모형에 관한 통계적 공정관리 비교 연구

  • Kim, Kyung-Soo (Dept. of Internet information, BaekSeok Culture University) ;
  • Kim, Hee-Cheul (Dept. of Industrial & Management Engineering, Namseoul University)
  • 김경수 (백석문화대학교 인터넷 정보학부) ;
  • 김희철 (남서울대학교 산업경영공학과)
  • Received : 2013.10.08
  • Accepted : 2013.12.20
  • Published : 2013.12.28
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Abstract

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. It is shown that it is possible to do asymptotic likelihood inference for software reliability models based on infinite failure model and non-homogeneous Poisson Processes (NHPP). Statistical process control (SPC) can monitor the forecasting of software failure and thereby contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, we proposed a control mechanism based on NHPP using mean value function of logarithmic hazard learning effects property.

소프트웨어의 디버깅 오류의 발생 시간에 의존하는 많은 소프트웨어 신뢰성 모델이 연구되었다. 소프트웨어 오류 탐색 기법은 사전에 알지 못하지만 자동적으로 발견되는 에러를 고려한 영향요인과 사전 경험에 의하여 세밀하게 에러를 발견하기 위하여 테스팅 관리자가 설정해놓은 요인인 학습효과의 특성에 대한 문제를 비교 제시 하였다. 본 연구에서는 학습효과 비동질적인 유한고장모형 분석을 위한 모수 추정은 우도함수를 이용하였다. 소프트웨어 시장에 인도하기 위한 결정에 대하여 조건부 고장률은 중요한 변수가 되고 이러한 고장 모델은 실제 상황에서 많이 사용되고 있다. 통계적 공정 관리 (SPC)는 소프트웨어 오류의 예측을 모니터링 함으로써 소프트웨어의 신뢰성 향상에 크게 기여할 수 있다. 이러한 컨트롤 차트는 널리 소프트웨어 산업의 소프트웨어 프로세스 제어를 위해 사용된다. 본 연구에서는 로그 위험 학습 효과 속성의 비동질적인 포아송 과정의 평균값 기능을 사용한 컨트롤 메커니즘을 제안하였다.

Keywords

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