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.
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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.
|