유한고장 지수화 지수 분포 NHPP 소프트웨어 신뢰성장 모형에 관한 연구 = The Study for Infinite Failure NHPP Software Reliability Growth Model based on Exponentiated Exponential Distribution

다국어 초록 (Multilingual Abstract)

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the exponentiated exponential distribution reliability model, which maked out efficiency substituted for Gamma and weibull model (2 parameter shape illustrated by Gupta and Kundu)
Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE, AIC statistics and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using simulated data set for the sake of proposing shape parameter of the exponentiated exponential distribution was employed. This analysis of failure data compared with the exponentiated exponential distribution model and the existing model using arithmetic and Laplace trend tests, bias tests is presented.

목차 (Table of Contents)

• 목차
• Ⅰ. 서론
• Ⅱ. 이론적 배경에 대한 고찰
• 2.1 지수화된 지수분포
• 2.2 기존의 신뢰성 모형
• Ⅲ. 제안된 지수화된 지수분포를 이용한 신뢰성 모형
• Ⅳ. 모의자료를 이용한 소프트웨어 고장 자료 분석
• Ⅴ. 결론
• □ 참고문헌