The comparative study for ENHPP software reliability growth model based on mixture coverage function

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 quality of a critical element of the software testing process: test coverage. This model called Enhanced non-homogeneous Poisson process (ENHPP). In this paper, exponential coverage and S-shaped (Yamada-Ohba-Osaki) model was reviewed, proposes modified mixture 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 for the sake of efficient model, was employed. © 2011 Springer-Verlag.