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http://dx.doi.org/10.17661/jkiiect.2016.9.5.496

A comparative study on learning effects based on the reliability model depending on Makeham distribution  

Kim, Hee-Cheul (Department of Industrial & Management Engineering, Namseoul University)
Cheul, Shin-Hyun (Department of Computer Engineering, BackSeok Culture University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.9, no.5, 2016 , pp. 496-502 More about this Journal
Abstract
In this study, we investigated the comparative NHPP software model based on learning techniques that operators in the process of software testing and development of software products that can be applied to software test tool. The life distribution was applied Makeham distribution based on finite fault 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 larger than automatic error that is usually well-organized model could be established. This paper, a trust characterization of applying using time among failures and parameter approximation using maximum likelihood estimation, after the effectiveness of the data through trend examination model selection were well-organized using the mean square error and $R^2$. From this paper, the software operators must be considered life distribution by the basic knowledge of the software to confirm failure modes which may be helped.
Keywords
Learning Effects; Non-Homogeneous Poisson Process; Makeham Distribution; Mission Time;
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