A vector Markov model for structural coverage growth and the number of failure occurrences

Proceedings - International Symposium on Software Reliability Engineering, ISSRE

Volumn 2002-January, Issue , 2002, Pages 304-315

  Grottke, Michael ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Calendars; Differential equations; Econometrics; Redundancy; Sampling methods; Software reliability; Software testing; Statistical analysis; System testing; Time measurement

Indexed keywords

DIFFERENTIAL EQUATIONS; ECONOMICS; FAILURE ANALYSIS; MARKOV PROCESSES; REDUNDANCY; RELIABILITY; RELIABILITY ANALYSIS; SAFETY ENGINEERING; SAMPLING; SOFTWARE TESTING; STATISTICAL METHODS; STATISTICS; STRUCTURAL ANALYSIS; TIME MEASUREMENT;

CALENDARS; ECONOMETRICS; EXPECTED NUMBER OF FAILURES; OPERATIONAL TESTING; SAMPLING METHOD; SOFTWARE RELIABILITY GROWTH MODELS; SYSTEM TESTING; SYSTEMATIC TESTING;

SOFTWARE RELIABILITY;

EID: 43349102368     PISSN: 10719458     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSRE.2002.1173276     Document Type: Conference Paper

References (14)

1. A. L. Goel and K. Okumoto. Time-dependent error-detection rate model for software reliability and other performance measures. IEEE Trans. Reliability, 28:206-211, 1979.
2. S. S. Gokhale, T. Philip, P. Marinos, and K. S. Trivedi. Unification of finite failure non-homogeneous Poisson process models through test coverage. In Proc. Seventh International Symposium on Software Reliability Engineering, pages 299-307, 1996.
3. W. H. Greene. Econometric Analysis. Prentice-Hall, Upper Saddle River, 3rd edition, 1997.
4. R. A. Howard. Dynamic Probabilistic Systems-Volume I: Markov Models. Series in decision and control. Wiley, New York, 1971.
5. R. Jacoby and Y. Tohma. Parameter value computation by least square method and evaluation of software availability and reliability at service-operation by the hyper-geometric distribution software reliability growth model (HGDM). In Proc. Thirteenth International Conference on Software Engineering, pages 226-237, 1991.
6. Z. Jelinski and P. Moranda. Software reliability research. In W. Freiberger, editor, Statistical Computer Performance Evaluation, pages 465-484. Academic Press, New York, 1972.
7. M. Ohba. Software reliability analysis models. IBM Journal of Research and Development, 28:428-443, 1984.
8. P. Piwowarski, M. Ohba, and J. Caruso. Coverage measurement experience during function test. In Proc. Fifteenth International Conference on Software Engineering, pages 287-301, 1993.
9. A. T. Rivers. Modeling Software Reliability During Non-Operational Testing. PhD thesis, North Carolina State University, 1998.
10. A. T. Rivers and M. A. Vouk. Resource-constrained non-operational testing of software. In Proc. Ninth International Symposium on Software Reliability Engineering, pages 154-163, 1998.
11. Y. Tohma, K. Tokunaga, S. Nagase, and Y. Murata. Structural approach to the estimation of the number of residual software faults based on the hyper-geometric distribution. IEEE Trans. Software Engineering, 15:345-355, 1989.
12. Y. Tohma, H. Yamano, M. Ohba, and R. Jacoby. The estimation of parameters of the hypergeometric distribution and its application to the software reliability growth model. IEEE Trans. Software Engineering, 17:483-489, 1991.
13. S. Yamada, M. Ohba, and S. Osaki. S-shaped software reliability growth modeling for software error detection. IEEE Trans. Reliability, 32:475-478, 1983.
14. S. Yamada, H. Ohtera, and H. Narihisa. Software reliability growth models with testing-effort. IEEE Trans. Reliability, 35:19-23, 1986.