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http://dx.doi.org/10.17661/jkiiect.2016.9.3.278

The Study of Infinite NHPP Software Reliability Model from the Intercept Parameter using Linear Hazard Rate Distribution  

Kim, Hee-Cheul (Division of Industrial & Management Engineering, Namseoul University)
Shin, Hyun-Cheul (Division of Computer Engineering, BaekSeok Culture University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.9, no.3, 2016 , pp. 278-284 More about this Journal
Abstract
Software reliability in the software development process is an important issue. In infinite failure NHPP software reliability models, the fault occurrence rates may have constant, monotonic increasing or monotonic decreasing pattern. In this paper, infinite failures NHPP models that the situation was reflected for the fault occurs in the repair time, were presented about comparing property. Commonly, the software model of the infinite failures using the linear hazard rate distribution software reliability based on intercept parameter was used in business economics and actuarial modeling, was presented for comparison problem. The result is that a relatively large intercept parameter was appeared effectively form. The parameters estimation using maximum likelihood estimation was conducted and model selection was performed using the mean square error and the coefficient of determination. The linear hazard rate distribution model is also efficient in terms of reliability because it (the coefficient of determination is 90% or more) in the field of the conventional model can be used as an alternative model could be confirmed. From this paper, the software developers have to consider intercept parameter of life distribution by prior knowledge of the software to identify failure modes which can be able to help.
Keywords
Software Reliability; NHPP; Laplace Trend Test; Linear Hazard Rate Distribution;
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Times Cited By KSCI : 1  (Citation Analysis)
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