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http://dx.doi.org/10.5762/KAIS.2011.12.10.4543

The Study of Software Reliability Model from the Perspective of Learning Effects for Burr Distribution  

Kim, Dae-Soung (Division of e-Business, Gyeonggi College of Science and Technology)
Kim, Hee-Cheul (Division of Industrial and Management Engineering, Namseoul University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.12, no.10, 2011 , pp. 4543-4549 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 Burr distribution applied to distribution was based on finite failure NHPP. 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 and $R^2$.
Keywords
Learning Effects; Burr Distribution; Time Truncated Model;
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Times Cited By KSCI : 1  (Citation Analysis)
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