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http://dx.doi.org/10.17662/ksdim.2011.7.4.007

A Study for NHPP software Reliability Growth Model based on polynomial hazard function  

Kim, Hee Cheul (남서울대학교 산업경영공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.7, no.4, 2011 , pp. 7-14 More about this Journal
Abstract
Infinite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rate per fault (hazard function). This infinite non-homogeneous Poisson process is model which reflects the possibility of introducing new faults when correcting or modifying the software. In this paper, polynomial hazard function have been proposed, which can efficiency application for software reliability. Algorithm for estimating the parameters used to maximum likelihood estimator and bisection method. Model selection based on mean square error and the coefficient of determination for the sake of efficient model were employed. In numerical example, log power time model of the existing model in this area and the polynomial hazard function model were compared using failure interval time. Because polynomial hazard function model is more efficient in terms of reliability, polynomial hazard function model as an alternative to the existing model also were able to confirm that can use in this area.
Keywords
NHPP; Polynomial Hazard Function; Coefficient of Determination;
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