Browse > Article
http://dx.doi.org/10.17661/jkiiect.2019.12.3.211

A Study on the Attributes of Software Reliability Cost Model with Shape Parameter Change of Type-2 Gumbel Life Distribution  

Yang, Tae-Jin (Department of Electronic Engineering, Namseoul University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.12, no.3, 2019 , pp. 211-217 More about this Journal
Abstract
In this study, we compare and analyze the attributes of the software development cost model according to the shape parameters change of the Type-2 Gumbel lifetime distribution using the NHPP model. In order to analyze the software failure phenomena, the parametric estimation is applied to the maximum likelihood estimation method, and the nonlinear equations are calculated using the bisection method. As a result, when the attributes of the cost curves according to the change of shape parameters are compared, it is found that the larger the number of shape parameters, the lower the software development cost and the faster the release time. Through this study, it is expected that it will be helpful for the software developers to search for the development cost according to the software shape parameters change, and also to provide the necessary information for the attributes of the software development cost.
Keywords
Laplace trend test; Life distribution; NHPP; Shape parameter; Software reliability cost model; Type-2 Gumbel distribution;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 K. Y. Song, I. H. Chang, H. Pham, "A Software Reliability Model with a Weibull Fault Detection Rate Function Subject to Operating Environments", Applied Science, Vol.7, No.983, pp.1-16, 2017.
2 T. J. Yang, "A characteristic study on the software development cost model based on the lifetime distribution following the shape parameter of Type-2 Gumbel and Erlang distribution", The Journal of Korea Institute of Information Electronics and Communication Technology, Vol 11, No 4, 2018, pp.460-466.   DOI
3 Gokhale, S. S. and Trivedi, K. S. A, "time/structure based software reliability model", Annals of Software Engineering. 8, pp. 85-121. 1999.   DOI
4 Goel A L, Okumoto K, "Time-dependent fault detection rate model for software and other performance measures", IEEE Transactions on Software Engineering, Vol.28, pp.206-211, 1978.
5 H. C. Kim, "A Comparative Study on Software Reliability Models with Shape Parameter of Type-2 Gumble Life Distribution", International Journal of Soft Computing" Vol.12, No.5-6, pp.351-354, 2017.
6 T. J. Yang, "A Comparative Software Development Cost Model Considering the Change in the Shape Parameter of the Eralng Distribution", The Journal of Korea Institute of Information, Electronics, and Communication Technology" Vol.9, No.6, pp.566-572, 2016.   DOI
7 Ye Zhang, and Kaigui Wu, "Software Cost Model Considering Reliability and Time of Software in Use", Journal of Convergence Information Technology, Vol.7, No.13, pp.135-142, 2012.   DOI
8 R. Satya Prasad, K. R. H. Rao and R.R.L Kantha, "Software Reliability Measuring using Modified Maximum Likelihood Estimation and SPC", International Journal of Computer Applications (0975-8887) Vol.21, No.7, pp.1-5, 2011.   DOI
9 T. J. Yang, "A Software Reliability Cost Mode Based on the Shape Parameter of Lomax Distribution", The Journal of Korea Institute of Information Electronics and Communication Technology, Vol 9, No 2, 2016, pp. 171-177.   DOI
10 H. C. KIM, "The Assessing Comparative Study for Statistical Process Control of Software Reliability Model Based on Rayleigh and Burr Type", Journal of Korea society of digital industry and information management, Vol.10, No.2, pp.1-11, 2014.   DOI
11 T. J. Yang, "The Performance Analysis Comparative Study depend on Software Reliability Model and Curve Regression Model", Medwell Journals, Vol.12, No.5, pp.313-317, 2017.
12 Kuo, L. and T. Yang, "Bayesian computation of Software Reliability." Journal of Comput. Graphical Stat,4: 65-82, 1995.