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The Study for ENHPP Software Reliability Growth Model based on Burr Coverage Function

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2007, 12(4), pp.33-42
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kim Hee Chul 1

1남서울대학교

Accredited

ABSTRACT

Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous poission process(ENHPP). In this paper, exponential coverage and S-shaped model was reviewed, proposes the Kappa coverage model, which maked out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics and Kolmogorov distance, for the sake of efficient model, was employed. From the analysis of mission time, the result of this comparative study shows the excellent performance of Burr coverage model rather than exponential coverage and S-shaped model using NTDS data. This analysis of failure data compared with the Kappa coverage model and the existing model(using arithmetic and Laplace trend tests, bias tests) is presented.

Citation status

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