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http://dx.doi.org/10.14400/JDC.2015.13.12.143

Failure Time Prediction Capability Comparative Analysis of Software NHPP Reliability Model  

Kim, Hee-Cheul (Dept. of Industrial & Management Engineering, Namseoul University)
Kim, Kyung-Soo (Dept. of Internet information, BaekSeok Culture University)
Publication Information
Journal of Digital Convergence / v.13, no.12, 2015 , pp. 143-149 More about this Journal
Abstract
This study aims to analyze the predict capability of some of the popular software NHPP reliability models(Goel-Okumo model, delayed S-shaped reliability model and Rayleigh distribution model). The predict capability analysis will be on two key factors, one pertaining to the degree of fitment on available failure data and the other for its prediction capability. Estimation of parameters for each model was used maximum likelihood estimation using first 80% of the failure data. Comparison of predict capability of models selected by validating against the last 20% of the available failure data. Through this study, findings can be used as priori information for the administrator to analyze the failure of software.
Keywords
NHPP; Rayleigh Distribution; Delayed S-shaped Reliability Model; Prediction of Failure Time; Maximum Likelihood Estimation;
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Times Cited By KSCI : 1  (Citation Analysis)
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