Browse > Article
http://dx.doi.org/10.17661/jkiiect.2016.9.2.171

A Software Reliability Cost Model Based on the Shape Parameter of Lomax Distribution  

Yang, Tae-Jin (Industry-Academic Cooperation Foundation, Namseoul University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.9, no.2, 2016 , pp. 171-177 More about this Journal
Abstract
Software reliability in the software development process is an important issue. Software process improvement helps in finishing with reliable software product. Infinite failure NHPP software reliability models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this study, reliability software cost model considering shape parameter based on life distribution from the process of software product testing was studied. The cost comparison problem of the Lomax distribution reliability growth model that is widely used in the field of reliability presented. The software failure model was used the infinite failure non-homogeneous Poisson process model. The parameters estimation using maximum likelihood estimation was conducted. For analysis of software cost model considering shape parameter. In the process of change and large software fix this situation can scarcely avoid the occurrence of defects is reality. The conditions that meet the reliability requirements and to minimize the total cost of the optimal release time. Studies comparing emissions when analyzing the problem to help kurtosis So why Kappa efficient distribution, exponential distribution, etc. updated in terms of the case is considered as also worthwhile. In this research, software developers to identify software development cost some extent be able to help is considered.
Keywords
Software Development Cost Model; Non-Homogeneous Poisson Process; Lomax Distribution; Shape Parameter; Reliability;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Gokhale, S. S. and Trivedi, K. S. A, "time/structure based software reliability model", Annals of Software Engineering. 8, pp. 85-121. 1999.   DOI
2 Goel A L, Okumoto K, "Time-dependent fault detection rate model for software and other performance measures", IEEE Trans. Reliab. 28, pp.206-11, 1978.
3 Yamada S, Ohba H, "S-shaped software reliability modeling for software error detection", IEEE Trans. Reliab, 32, pp.475-484, 1983.
4 Zhao M, "Change-point problems in software and hardware reliability", Commun. Stat. Theory Methods, 22(3), pp.757-768, 1993.   DOI
5 Shyur H-J, "A stochastic software reliability model with imperfect debugging and change-point", J. Syst. Software 66, pp.135-141, 2003.   DOI
6 Pham H, Zhang X., "NHPP software reliability and cost models with testing coverage", Eur. J. Oper. Res, 145, pp.445-454, 2003.
7 Huang C-Y, "Performance analysis of software reliability growth models with testing-effort and change-point", J. Syst. Software 76, pp. 181-194, 2005.   DOI
8 Kuei-Chen, C., Yeu-Shiang, H., and Tzai-Zang, L., "A study of software reliability growth from the perspective of learning effects", Reliability Engineering and System Safety 93, pp. 1410-1421, 2008.   DOI
9 Hee-Cheul 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, Volume 10, No.2, pp. 1-11. 2014.   DOI
10 Tae-Hyun Yoo, "The Infinite NHPP Software Reliability Model based on Monotonic Intensity Function", Indian Journal of Science and Technology, Volume 8, No. 14, pp. 1-7, 2015.
11 Zhang Y, Wu K. Software cost model considering reliability and time of software in use. Journal of Convergence Information Technology. 7(13), pp. 135-42, 2012.
12 Kim H-C. The Property of Learning effect based on Delayed Software S-Shaped Reliability Model using Finite NHPP Software Cost Model, Indian Journal of Science and Technology 8(34), pp. 1-7, 2015.
13 http://www.math.wm.edu/-leemis/chart/UDR/PDFs/Lomax.pdf
14 Satya Prasad R, Sridevi G, Kumari KS. Assessing Pareto Type II Software Reliability using SPC. International Journal of Computer Applications (0975-8887),62(3), pp.17-21, 2013.   DOI
15 Y. HAYAKAWA and G. TELFAR, "Mixed Poisson-Type Processes with Application in Software Reliability", Mathematical and Computer Modelling, 31, pp. 151156, 2000.
16 K. Kanoun and J. C. Laprie, "Handbook of Software Reliability Engineering", M.R.Lyu, Editor, chapter Trend Analysis. McGraw-Hill New York, NY, pp. 401-437, 1996.
17 Tae-Jin Yang, Jea-gun Park, "A Study on Software Reliability Model based on Mixture Weibull NHPP Property", International Journal of Applied Engineering Research Vol.10, No.90, pp. 548-552, 2015.