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http://dx.doi.org/10.9708/jksci.2010.15.5.125

The Comparative Study of Software Optimal Release Time Based on Gamma Exponential and Non-exponential Family Distribution Model  

Kim, Hee-Cheul (남서울대학교 산업경영공학과)
Shin, Hyun-Cheul (백석문화대학 인터넷정보학부)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.5, 2010 , pp. 125-132 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 exponential and non-exponential family which has various intensity. 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 Statistic; Exponential and Non-exponential family;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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