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http://dx.doi.org/10.17662/ksdim.2010.6.1.055

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

Kim, Jae-Wook (남서울대학교 전자공학과)
Kim, Hee-Cheul (남서울대학교 산업경영공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.6, no.1, 2010 , pp. 55-67 More about this Journal
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
Software Release Policies; Record Value Statistics; Generalized Gamma Distribution; Total Average Software Cost;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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