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http://dx.doi.org/10.21219/jitam.2021.28.4.013

A Study on the Software Reliability Model Analysis Following Exponential Type Life Distribution  

Kim, Hee Cheul (Namseoul University)
Moon, Song Chul (Namseoul Univ. Dept. Computer Software)
Publication Information
Journal of Information Technology Applications and Management / v.28, no.4, 2021 , pp. 13-20 More about this Journal
Abstract
In this paper, I was applied the life distribution following linear failure rate distribution, Lindley distribution and Burr-Hatke exponential distribution extensively used in the arena of software reliability and were associated the reliability possessions of the software using the nonhomogeneous Poisson process with finite failure. Furthermore, the average value functions of the life distribution are non-increasing form. Case of the linear failure rate distribution (exponential distribution) than other models, the smaller the estimated value estimation error in comparison with the true value. In terms of accuracy, since Burr-Hatke exponential distribution and exponential distribution model in the linear failure rate distribution have small mean square error values, Burr-Hatke exponential distribution and exponential distribution models were stared as the well-organized model. Also, the linear failure rate distribution (exponential distribution) and Burr-Hatke exponential distribution model, which can be viewed as an effectual model in terms of goodness-of-fit because the larger assessed value of the coefficient of determination than other models. Through this study, software workers can use the design of mean square error, mean value function as a elementary recommendation for discovering software failures.
Keywords
Burr-Hatke Exponential Distribution; Lindley Distribution; Coefficient of Determination; Non-Homogeneous Poisson Process; Mission Time;
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