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Failure Time Prediction Capability Comparative Analysis of Software NHPP Reliability Model
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  • Journal title : Journal of Digital Convergence
  • Volume 13, Issue 12,  2015, pp.143-149
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2015.13.12.143
 Title & Authors
Failure Time Prediction Capability Comparative Analysis of Software NHPP Reliability Model
Kim, Hee-Cheul; Kim, Kyung-Soo;
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 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;
 Language
Korean
 Cited by
 References
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