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http://dx.doi.org/10.21219/jitam.2018.25.2.109

A Study on the Reliability Performance Evaluation of Software Reliability Model Using Modified Intensity Function  

Kim, Hee Cheul (Namseoul University, Department of Industrial & Management Engineering)
Moon, Song Chul (Department of Computer Science, Namseoul University)
Publication Information
Journal of Information Technology Applications and Management / v.25, no.2, 2018 , pp. 109-116 More about this Journal
Abstract
In this study, we was compared the reliability performance of the software reliability model, which applied the Goel-Okumoto model developed using the exponential distribution, to the logarithmic function modifying the intensity function and the Rayleigh form. As a result, the log-type model is relatively smaller in the mean squared error compared to the Rayleigh model and the Goel-Okumoto model. The logarithmic model is more efficient because of the determination coefficient is relatively higher than the Goel-Okumoto model. The estimated determination coefficient of the proposed model was estimated to be more than 80% which is a useful model in the field of software reliability. Reliability has been shown to be relatively higher in the log-type model than the Rayleigh model and the Goel-Okumoto model as the mission time has elapsed. Through this study, software designer and users can identify the software failure characteristics using mean square error, decision coefficient. The confidence interval can be used as a basic guideline when applying the intensity function that reflects the characteristics of the lifetime distribution.
Keywords
Determination Coefficient; Mean Squared Error; Confidence Interval; Intensity Function; NHPP; Mission Time;
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Times Cited By KSCI : 1  (Citation Analysis)
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