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The Study for NHPP Software Reliability Growth Model based on Exponentiated Exponential Distribution

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(5), pp.8-18
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kim Hee Chul 1

1남서울대학교

Candidate

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(2001) 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 NTDS 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.

Citation status

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