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A Study on Optimal Release Time for Software Systems based on Generalized Gamma Distribution

일반화 감마분포에 근거한 소프트웨어 최적방출시기에 관한 비교 연구

  • 김재욱 (남서울대학교 전자공학과) ;
  • 김희철 (남서울대학교 산업경영공학과)
  • Received : 2010.01.27
  • Accepted : 2010.02.25
  • Published : 2010.03.30

Abstract

Decision problem called an optimal release policies, after testing a software system in development phase and transfer it to the user, is studied. The applied model of release time exploited infinite non-homogeneous Poisson process. This infinite non-homogeneous Poisson process is a model which reflects the possibility of introducing new faults when correcting or modifying the software. The failure life-cycle distribution used generalized gamma type distribution which has the efficient various property because of various shape and scale parameter. Thus, software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement becomes an optimal release policies. In a numerical example, after trend test applied and estimated the parameters using maximum likelihood estimation of inter-failure time data, estimated software optimal release time.

Keywords

Acknowledgement

Supported by : 남서울대학교

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