Browse > Article
http://dx.doi.org/10.14400/JDC.2014.12.12.277

The Comparative Study for Software Reliability Model Based on Finite and Infinite Failure Property using Rayleigh Distribution  

Kim, Kyung-Soo (Dept. of Internet information, BaekSeok Culture University)
Kim, Hee-Cheul (Dept. of Industrial & Management Engineering, Namseoul University)
Publication Information
Journal of Digital Convergence / v.12, no.12, 2014 , pp. 277-284 More about this Journal
Abstract
The NHPP software reliability models for failure analysis can have, in the literature, exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, finite failure NHPP models that assuming the expected value of the defect and infinite failures NHPP models that repairing software failure point in time reflects the situation, were presented for comparing property. Commonly used in the field of software reliability based on Rayleigh distribution software reliability model finite failures and infinite failures were presented for comparison problem. As a result, infinite fault model is effectively finite fault models, respectively. The parameters estimation using maximum likelihood estimation was conducted. In this research, can be able to help software developers for considering software failure property some extent.
Keywords
NHPP; Rayleigh Distribution; Finite and Infinite Model; Mission Time;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 L. Kuo and T. Y. Yang, Bayesian Computation of Software Reliability, Journal of the American Statistical Association, Vol.91, pp. 763-773, 1996.   DOI   ScienceOn
2 Gokhale, S. S. and Trivedi, K. S. A time/structure based software reliability model, Annals of Software Engineering, 8, pp. 85-121. 1999.   DOI   ScienceOn
3 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.
4 Yamada S, Ohba H., S-shaped software reliability modeling for software error detection", IEEE Trans. Reliab., 32, pp.475-484, 1983.
5 Zhao M., Change-point problems in software and hardware reliability", Commun. Stat. Theory Methods, 22(3), pp.757-768, 1993.   DOI   ScienceOn
6 Shyur H-J., A stochastic software reliability model with imperfect debugging and change-point, J. Syst. Software 66, pp.135-141, 2003.   DOI   ScienceOn
7 Pham H, Zhang X., "NHPP software reliability and cost models with testing coverage", Eur. J. Oper. Res., 145, pp.445-454, 2003.
8 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   ScienceOn
9 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   ScienceOn
10 Hee-Cheul KIM, "The Comparative Study of NHPP Half-Logistic Distribution Software Reliability Model using the Perspective of Learning Effects", Journal of Next Generation Information Technology, Vol. 4, No. 8, pp. 132-139, 2013.
11 Hee-Cheul KIM, "The Comparative Study of NHPP Delayed S-Shaped and Extreme Value Distribution Software Reliability Model using the Perspective of Learning Effects", International Journal of Advancements in Computing Technology, Vol. 5, No.9, pp. 1210-1218, 2013.   DOI
12 Gokhale, S. S. and Trivedi, K. S. "A time / structure based software reliability model," Annals of Software Engineering, 8, pp. 85-121, 1999.   DOI   ScienceOn
13 Kyung-Soo Kim, Hee-Cheul Kim, The Comparative Study of Software Optimal Release Time of Finite NHPP Model Considering Property of Nonlinear Intensity Function, The Journal of Digital Policy & Management, 11(1): 159-166, Sep, 2013.   과학기술학회마을   DOI
14 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   ScienceOn
15 Kim, Hee Cheul, "The Comparative Study of Software Optimal Release Time of Finite NHPPModel Considering Half-Logistic and Log-logistic Distribution Property", The Journal of Korea Society of Digital Industry and Information, 9(2):1-10, June, 2013.
16 SIMOS M. and GEORGE I., "TESTS OF FIT FOR THE RAYLEIGH DISTRIBUTION BASED ON THE EMPIRICAL LAPLACE TRANSFORM," Ann. Inst. Statist. Math. Vol. 55, No. 1, pp. 137-151, 2003.
17 Kim, Hee-cheul, "The Assessing Comparative Study for Statistical Process Control of Software Reliability Model Based on Rayleigh and Burr Type", Journal of the Korea Society of Digital Industry and Information Management, pp. 1-11, 2014.   DOI
18 Y. HAYAKAWA and G. TELFAR, "Mixed Poisson - Type Processes with Application in Software Reliability", Mathematical and Computer Modelling, 31, pp. 151-156, 2000.   DOI   ScienceOn
19 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.