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http://dx.doi.org/10.17662/ksdim.2011.7.2.001

The Camparative study of NHPP Extreme Value Distribution Software Reliability Model from the Perspective of Learning Effects  

Kim, Hee Cheul (남서울대학교 산업경영공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.7, no.2, 2011 , pp. 1-8 More about this Journal
Abstract
In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure non-homogeneous Poisson process models presented and the life distribution applied extreme distribution which used to find the minimum (or the maximum) of a number of samples of various distributions. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error.
Keywords
Learning Effects; Non-Homogeneous Poission Process; Extreme Value Distribution Model;
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Times Cited By KSCI : 1  (Citation Analysis)
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