A Study on Analysis of NVP Reliability Using Genetic Algorithms


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 2, pp. 326-334, Feb. 1999
10.3745/KIPSTE.1999.6.2.326,   PDF Download:

Abstract

There are the fault tolerance technology and the fault avoidance technology to analyze and evaluate the performance of computer system. To improve the reliability of software, The N-version Programming(NVP) technology is known to be the most objective and quantitive. However, when discrete probability distribution is used as estimation model, the values of it's component reliability should be same. In this paper, to resolve this problem, we adapted the genetic algorithms to NVP technology and implement the optimized simulate. And then the results were analyzed and estimated. Through this study, we could optimize the reliability of each component and estimate the optimum count in the system reliability.


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Cite this article
[IEEE Style]
S. K. Ae and H. P. Am, "A Study on Analysis of NVP Reliability Using Genetic Algorithms," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 2, pp. 326-334, 1999. DOI: 10.3745/KIPSTE.1999.6.2.326.

[ACM Style]
Shin Kyeong Ae and Han Pan Am. 1999. A Study on Analysis of NVP Reliability Using Genetic Algorithms. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 2, (1999), 326-334. DOI: 10.3745/KIPSTE.1999.6.2.326.