Does software reliability growth behavior follow a non-homogeneous Poisson process

Information and Software Technology

Volumn 50, Issue 12, 2008, Pages 1232-1247

  Cai, Kai Yuan ^a   Hu, De Bin ^a   Bai, Cheng Gang ^a   Hu, Hai ^a   Jing, Tao ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Controlled software experiment; Goel Okumoto model; Non homogeneous Poisson process; Software reliability modeling; Software testing

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; CORROSION; DIFFRACTIVE OPTICAL ELEMENTS; EXPERIMENTS; POISSON DISTRIBUTION; POISSON EQUATION; RELIABILITY; SOFTWARE TESTING; TESTING;

CONTROLLED SOFTWARE EXPERIMENT; GOEL-OKUMOTO MODEL; NON-HOMOGENEOUS POISSON PROCESS; NON-HOMOGENEOUS POISSON PROCESSES; SOFTWARE RELIABILITY MODELING;

SOFTWARE RELIABILITY;

EID: 51449110662     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infsof.2007.12.001     Document Type: Article

References (33)

1. G.R. Hudson, Program errors as a birth and death process, System Development Corporation, Report SP-3011, Santa Monica, CA, 1967.
2. Musa J.D., Iannino A., and Okumoto K. Software Reliability: Measurement, Prediction, Application (1987), McGraw-Hill
3. Xie M. Software Reliability Modeling (1991), World Scientific
4. In: Lyu M.R. (Ed). Handbook of Software Reliability Engineering (1996), McGraw-Hill
5. Cai K.Y. Software Defect and Operational Profile Modeling (1998), Kluwer Academic Publishers
6. Pham H. Software Reliability (2000), Springer
7. Jelinski Z., and Moranda P.B. Software reliability research. In: Greiberger W. (Ed). Statistical Computer Performance Evaluation (1972), Academic Press 465-484
8. E.C. Nelson, A Statistical Basis for Software Reliability Assessment, TRW-SS-73-03, 1973.
9. M.L. Shooman, Probabilistic models for software reliability prediction, in: Proc. the Fault-Tolerant Computing Symposium, 1972, pp. 211-215.
10. Littlewood B., and Verrall J. A Bayesian reliability growth model for computer software. Applied Statistics 22 3 (1973) 332-346
11. Halstead M.H. Elements of Software Science (1977), North-Holland
12. Musa J.D. A theory of software reliability and its application. IEEE Transactions on Software Engineering SE-1 3 (1975) 312-327
13. Schneidewind N.F. Analysis of error processes in computer software. Sigplan Notes 10 6 (1975) 337-346
14. M. Xie, M. Zhao, The Schneidewind software reliability model revisited, in: Proc. IEEE International Symposium on Software Reliability Engineering, 1992, pp. 184-192.
15. T. Nara, M. Nakata, A. Ooishi, Software reliability growth analysis - application of NHPP models and its evaluation, in: Proc. IEEE International Symposium on Software Reliability Engineering, 1995, pp. 251-255.
16. Wood A. Predicting software reliability. Computer (1996) 69-77
17. T. Keller, N.F. Schneidwind, Successful application of software reliability engineering for the NASA Space Shuttle, in: Proc. IEEE International Symposium on Software Reliability Engineering (Case Studies), 1997, pp. 71-82.
18. K.C. Gross, Software reliability and system availability at Sun, in: Proc. 11th International Symposium on Software Reliability Engineering, 2000.
19. Pham H. Software reliability and cost models: perspectives, comparison, and practice. European Journal of Operational Research 149 (2003) 475-489
20. H. Okamura, M. Grottke, T. Dohi, K.S. Trivedi, Variational Bayesian approach for interval estimation of NHPP-based software reliability models, in: Proc. 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2007, pp. 698-707.
21. A.L. Goel, K. Okumoto, A time dependent error detection rate for a large scale software system, in: Proc. the 3rd USA-Japan Computer Conference, 1978, pp. 35-40.
22. Cai K.Y. Towards a conceptual framework of software run reliability modeling. Information Sciences 126 (2000) 137-163
23. F.I. Vokolos, P.G. Frankl, Empirical evaluation of the textual differencing regression testing technique, in: Proc. the International Conference on Software Maintenance, November 1998, pp. 44-53.
24. Rothermel G., Untch R.H., Chu C., and Harrold M.J. Prioritizing test cases for regression testing. IEEE Transactions on Software Engineering 27 10 (2001) 929-948
25. Cai K.Y., Gu B., Hu H., and Li Y.C. Adaptive software testing with fixed-memory feedback. Journal of Systems and Software 80 (2007) 1328-1348
26. Campbell D.B., and Oprian C.A. On the Kolmogorov-Smirnov test for the Poisson distribution with unknown mean. Biometrics Journal 21 1 (1979) 17-24
27. Henze N. Empirical-distribution-function goodness-of-fit tests for discrete models. The Canadian Journal of Statistics 24 1 (1996) 81-93
28. Spinelli J.J., and Stephens M.A. Cramer-von Mises tests of fit for the poisson distribution. The Canadian Journal of Statistics 25 2 (1997) 257-268
29. A.L. Goel, Software Reliability Modeling and Estimation Techniques, RADC-TR-82-263, 1982.
30. Gaudoin O. CPIT goodness-of-fit tests for reliability growth models. In: Ionescu D., and Limnios N. (Eds). Statistical and Probabilistic Models in Reliability (1999), Birkhauser 27-37
31. Chen Y., and Singpurwalla N.D. Unification of software reliability models by self-exciting point processes. Advances in Applied Probability 29 (1997) 337-352
32. Cai K.Y., Wen C.Y., and Zhang M.L. A critical review on software reliability modeling. Reliability Engineering and System Safety 32 (1991) 357-371
33. Cai K.Y., and Chen L. Analyzing software science data with partial repeatability. Journal of Systems and Software 63 (2002) 173-186