Page 202 - 《软件学报》2020年第9期
P. 202
张策 等:可靠性模型中故障检测率研究述评 2823
[38] Yadavalli VSS, Aggarwal AG, Kapur PK, et al. Unified framework for developing testing effort dependent software reliability
growth models with change point and imperfect debugging. In: Proc of the 4th National Conf on Computing For Nation
Development. 2010. 509−516.
[39] Zhao J, Liu HW, Cui G, et al. Software reliability growth model with change-point and environmental function. Journal of Systems
and Software, 2006,79(11):1578−1587. [doi: 10.1016/j.jss2006.02.030]
[40] Achcar JA, Rodrigues ER, Paulino CD, et al. Non-Homogeneous Poisson models with a change-point: an application to ozone
peaks in Mexico city. Environmental and Ecological Statistics, 2010,17(4):521−541. [doi: 10.1007/s10651-009-0114-3]
[41] Jain M, Manjula T, Gulati TR. Prediction of reliability growth and warranty cost of software with fault reduction factor, imperfect
debugging and multiple change point. Int’l Journal of Operational Research, 2014,21(2):201−220. [doi: 10.1504/IJOR.2014.
064544].
[42] Pachauri B, Dhar J, Kumar A. Incorporating inflection S-shaped fault reduction factor to enhance software reliability growth.
Applied Mathematical Modelling, 2015,39(5-6):1463−1469. [doi: 10.1016/j.apm.2014.08.006]
[43] Aggarwal AG, Gandhi N, Verma V, et al. Multi-Release software reliability growth assessment: An approach incorporating fault
reduction factor and imperfect debugging. Int’l Journal Mathematics in Operational Research, 2019,15(4):446−463. [doi: 10.1504/
IJMOR.2019.10016194]
[44] Huang CY, Lin CT. Analysis of software reliability modeling considering testing compression factor and failure-to-fault
relationship. IEEE Trans. on Computers, 2010,59(2):283−288. [doi: 10.1109/tc.2009.103]
[45] Pham H. Loglog fault-detection rate and testing coverage software reliability models subject to random environments. Vietnam
Journal of Computer Science, 2014,1(1):39−45. [doi: 10.1007/s40595-013-0003-4]
[46] Li Q, Pham H. NHPP software reliability model considering the uncertainty of operating environments with imperfect debugging
and testing coverage. Applied Mathematical Modelling, 2017,51:68−85. [doi: 10.1016/j.apm.2017.06.034]
[47] Yamada S, Ohba M, Osaki S. S-Shaped reliability growth modeling for software error detection. IEEE Trans. on Reliability, 1983,
32(5):475−484. [doi: 10.1109/TR.1983.5221735]
[48] Hossain SA, Dahiya RC. Estimating the parameters of a non-homogeneous Poisson-process model for software reliability. IEEE
Trans. on Reliability, 1993,42(4):604−612. [doi: 10.1109/24.273589]
[49] Yamada S, Ohtera H, Narihisa H. Software reliability growth models with testing-effort. IEEE Trans. on Reliability, 1986,35(1):
19−23. [doi: 10.1109/TR.1986.4335332]
[50] Gokhale SS, Lyu MR, Trivedi KS. Analysis of software fault removal policies using a non-homogeneous continuous time Markov
chain. Software Quality Control, 2004,12(3):211−230. [doi: 10.1023/B:SQJO.0000034709.63615.8b]
[51] Gokhale SS, Philip T, Marinos PN, et al. Unification of finite failure non-homogeneous Poisson process models through test
coverage. In: Proc. of the Seventh Int’l Symp. on Software Reliability Engineering White Plains. 1996. 299−307. [doi: 10.1109/
ISSRE.1996.558886]
[52] Bergel A, Peña V. Increasing test coverage with Hapao. Science of Computer Programming, 2014,79:86−100. [doi: 10.1016/j.scico.
2012.04.006]
[53] Anniprincy B, Sridhar S. An efficient software reliability growth models with two types of imperfect debugging. European Journal
of Scientific Research, 2012,72(4):490−503.
[54] Gokhale SS, Trivedi KS. A time/structure based software reliability model. Annals of Software Engineering, 1999,8(1):85−121.
[doi: 10.1023/A:1018923329647]
[55] Malaiya YK, Li MN, Bieman JM, et al. Software reliability growth with test coverage. IEEE Trans. on Reliability, 2002,51(4):
420−426. [doi: 10.1109/tr.2002.804489]
[56] Li HF, Li QY, Lu MY. A software reliability growth model considering an S-shaped testing effort function under imperfect
debugging. Journal of Harbin Engineering University, 2011,32(11):1460−1467 (in Chinese with English abstract). [doi: 10.3969/
j.issn.1006-7043.2011.11.012]
[57] Li QY, Li HF, Lu MY. Software reliability growth model with S-shaped testing effort function. Journal of Beijing University of
Aeronautics and Astronautics, 2011,37(2):149−154 (in Chinese with English abstract). [doi: 10.13700/j.bh.1001-5965.2011.02.025]
[58] Li HF, Li QY, Lu MY. Software reliability modeling with logistic test coverage function. Journal of Computer Research and
Development, 2011,48(2):232−240 (in Chinese with English abstract).
[59] Li HF, Wang XC, Li QY. Software reliability growth model considering imperfect debugging with logistic testing coverage
function. Journal of Computer Research and Development, 2010,47(Suppl.):216−223 (in Chinese with English abstract).
[60] Li HF, Wang SQ, Liu C, et al. Software reliability model considering both testing effort and testing coverage. Ruan Jian Xue
Bao/Journal of Software, 2013,24(4):749−760 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/4257.htm