Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Failure Time Prediction Capability Comparative Analysis of Software NHPP Reliability Model

소프트웨어 NHPP 신뢰성모형에 대한 고장시간 예측능력 비교분석 연구

  • Kim, Hee-Cheul (Dept. of Industrial & Management Engineering, Namseoul University) ;
  • Kim, Kyung-Soo (Dept. of Internet information, BaekSeok Culture University)
  • 김희철 (남서울대학교 산업경영공학과) ;
  • 김경수 (백석문화대학교 인터넷정보학부)
  • Received : 2015.08.30
  • Accepted : 2015.12.20
  • Published : 2015.12.28

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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