Comparisons of nonhomogeneous Poisson process software reliability models and its applications

International Journal of Systems Science

Volumn 31, Issue 9, 2000, Pages 1115-1123

  Zhang, Xuemei ^a   Pham, Hoang ^a  

^a DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; COSTS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROGRAM DEBUGGING; RELIABILITY THEORY;

SOFTWARE COST MODELS;

SOFTWARE ENGINEERING;

EID: 0034286528     PISSN: 00207721     EISSN: None     Source Type: Journal    
DOI: 10.1080/002077200418397     Document Type: Article

References (24)

1. Akaike, H., 1974, A new look at statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723.
2. Ehrlich, W., Prasanna, B., Stampfel, J., and WU, J., 1993, Determining the cost of a stop-testing decision. IEEE Software, 33-42.
3. Goel, A.L., and Okumoto, K., 1997, Time-dependent error-detection rate model for software and other performance measures. IEEE Transactions on Reliability, 28, 206-211.
4. Hossain, S.A., and Dahiya, R.C., 1993, Estimating the parameters of a non-homogeneous Poisson process model for software reliability. IEEE Transactions on Reliability, 42, 604-612.
5. Misra, P.N., 1983, Software reliability analysis. IBM Systems Journal, 22, 262-270.
6. Musa, J., Iannino, A., and Okomoto, K., 1987, Software Reliability (New York: McGraw-Hill).
7. Ohba M., 1984, Inflection S-shaped software reliability growth models. Stochastic Models in Reliability Theory, edited by S. Osaki and Y. Hatoyama (Berlin: Springer-Verlag), pp. 144-162.
8. Ohba, M., and Chou, X.M., 1989, Does imperfect debugging affect software reliability growth? Proceedings of the 11th IEEE International Conference on Software Engineering (New York: IEEE), pp. 237-244.
9. Ohba, M., and Yamada, S., 1984, S-shaped software reliability growth models. Proceedings of the Fourth International Conference on Reliability and Maintainability, pp. 430-436.
10. Ohtera, H., and Yamada, S., 1990, Optimal allocation and control problems for software-testing resources. IEEE Transactions on Reliability, 39, 171-176.
11. Pham, H., 1993, Software reliability assessment: imperfect debugging and multiple failure types in software development. Idaho National Laboratory Report EG&G-RAAM-10737; 1995, Software reliability and Testing (New York: IEE Computer Society).
12. Pham, H., 1993, Software reliability assessment: imperfect debugging and multiple failure types in software development. Idaho National Laboratory Report EG&G-RAAM-10737; 1995, Software reliability and Testing (New York: IEE Computer Society).
13. Pham, H., and Pham, M., 1991, Software reliability models for critical applications. Idaho National Engineering Laboratory Report EG&G-2663.
14. Pham, H., Nordmann, L., and Zhang X., 1999, A general imperfect software reliability model with S-shaped fault detection rate. IEEE Transactions on Reliability, 48.
15. Pham, H., and Zhang, X., 1997, An NHPP software reliability models and its comparison, International Journal of Reliability, Quality and Safety Engineering, 4, 269-282.
16. Tohma, Y., Yamano, H., Ohba, M., and Jacoby, R., 1991, The estimation of parameters of the hyper-geometric distribution and its application to the software reliability growth model. IEEE Transactions on Software Engineering, 7, 483-489.
17. Yamada, S., 1991, Software quality/reliability measurement and assessment: software reliability growth models and data analysis. Journal of Information Processing, 14, 254-266.
18. Yamada, S. Ohba, M., and Osaki S., 1983, S-shaped reliability growth modeling for software error detection. IEEE Transactions on Reliability, 12, 475-484.
19. Yamada, S., Ohtera, H., and Narihisa, H., 1986, Software reliability growth models with testing effort. IEEE Transactions on Reliability, 4, 19-23.
20. Yamada, S., and Osaki, S., 1985, Software reliability growth modeling: models and applications. IEEE Transactions on Software Engineering, 11, 1431-1437; 1986, Optimum software release policies for a non-homogeneous software error detection rate model. Microelectronics and Reliability, 26, 691-702.
21. Yamada, S., and Osaki, S., 1985, Software reliability growth modeling: models and applications. IEEE Transactions on Software Engineering, 11, 1431-1437; 1986, Optimum software release policies for a non-homogeneous software error detection rate model. Microelectronics and Reliability, 26, 691-702.
22. Yamada, S., Tokuno, K., and Osaki, S., 1992, Imperfect debugging models with fault introduction rate for software reliability assessment. International Journal of Systems Science, 23, 2253-2264.
23. Wood, A., 1996, Predicting software reliability. IEEE Computers, 11, 69-77.
24. Zhang, X., and Pham, H., 1998, A software cost model with error removal times and risk costs. International Journal of Systems Science, 29, 435-442.