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http://dx.doi.org/10.6109/jkiice.2007.11.12.2311

The Study for ENHPP Software Reliability Growth Model Based on Kappa(2) Coverage Function  

Kim, Hee-Cheul (남서울대학교 산업경영공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.12, 2007 , pp. 2311-2318 More about this Journal
Abstract
Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require Release times 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 make 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. Numerical examples using real data set for the sake of proposing Kappa coverage model was employed. This analysis of failure data compared with the Kappaa coverage model and the existing model(using arithmetic and Laplace trend tests, bias tests) is presented.
Keywords
Test Coverage; ENHPP; Kappa Distribution; Kolmogorov Distance;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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