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http://dx.doi.org/10.17661/jkiiect.2018.11.4.325

A Study on the Reliability Attributes of the Software Reliability Model Following the Shape Parameter of Minimax Life Distribution  

Kim, Hee-Cheul (Department of Industrial & Management Engineering, Namseoul University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.4, 2018 , pp. 325-330 More about this Journal
Abstract
This paper, following the shape parameters of the minimax distribution, describes the special form of the beta distribution, the Minimax distribution, as a function of the shape parameters for the software reliability model based on the non-homogeneous Poisson process. Characteristics and usefulness were discussed. As a result, the case of the shape parameter 1 of Minimax distribution than less than and greate in mean squared error is the smallest, in determination coefficient, appears to be high, the shape parameter 1 of Minimax distribution regard as an efficient model. The estimated determination coefficient of the proposed model is estimated to be more than 95%, which is a useful model in the field of software reliability. Through this study, software design and users can identify the software failure characteristics using mean square error, decision coefficient, and confidence interval can be used as a basic guideline.
Keywords
Confidence interval; Determination coefficient; Mean squared error; Minimax distribution; NHPP;
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