JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Class of Discrete Time Coverage Growth Functions for Software Reliability Engineering
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Class of Discrete Time Coverage Growth Functions for Software Reliability Engineering
Park, Joong-Yang; Lee, Gye-Min; Park, Jae-Heung;
  PDF(new window)
 Abstract
Coverage-based NHPP SRGMs have been introduced in order to incorporate the coverage growth behavior into the NHPP SRGMs. The coverage growth function representing the coverage growth behavior during testing is thus an essential factor of the coverage-based NHPP SRGMs. This paper proposes a class of discrete time coverage growth functions and illustrates its application to real data sets.
 Keywords
Software reliability growth model;non-homogeneous Poisson process;coverage growth function;
 Language
English
 Cited by
1.
A class of coverage growth functions and its practical application,;;;

Journal of the Korean Statistical Society, 2008. vol.37. 3, pp.241-247
2.
A General Coverage-Based NHPP SRGM Framework,;;;

Communications for Statistical Applications and Methods, 2008. vol.15. 6, pp.875-881 crossref(new window)
3.
Selection of a Predictive Coverage Growth Function,;;

Communications for Statistical Applications and Methods, 2010. vol.17. 6, pp.909-916 crossref(new window)
4.
Estimation of Coverage Growth Functions,;;;

Communications for Statistical Applications and Methods, 2011. vol.18. 5, pp.667-674 crossref(new window)
5.
Virtual Coverage: A New Approach to Coverage-Based Software Reliability Engineering,;;

Communications for Statistical Applications and Methods, 2013. vol.20. 6, pp.467-474 crossref(new window)
1.
Estimation of Coverage Growth Functions, Communications for Statistical Applications and Methods, 2011, 18, 5, 667  crossref(new windwow)
2.
Virtual Coverage: A New Approach to Coverage-Based Software Reliability Engineering, Communications for Statistical Applications and Methods, 2013, 20, 6, 467  crossref(new windwow)
3.
A NHPP based software reliability model and optimal release policy with logistic–exponential test coverage under imperfect debugging, International Journal of System Assurance Engineering and Management, 2014, 5, 3, 399  crossref(new windwow)
4.
A class of coverage growth functions and its practical application, Journal of the Korean Statistical Society, 2008, 37, 3, 241  crossref(new windwow)
 References
1.
Fujiwara, T. and Yamada, S. (2002). Co coverage-measure and testing-domain metrics based on a software reliability growth model. International Journal of Reliability, Quality and Safety Engineering, 9, 329-340 crossref(new window)

2.
Gokhale, S. S. and Mullen, R. E. (2004). From test count to code coverage using the lognormal failure rate. In Proceedings 15th ISSRE, St. Malo, Bretagne

3.
Gokhale, S. S. and Mullen, R. E. (2005). Dynamic code coverage metrics: a lognormal perspective. In Proceedings of the 11th IEEE International Software Metrics Symposium

4.
Gokhale, S. S., Philip, T., Marinos, P. N. and Trivedi, K. S. (1996). Unification of finite failure non-homogeneous Poisson process models through test coverage. In Proceedings of the 7th International Symposium on Software Reliability Engineering, 299-307, White Plains, New York

5.
Gokhale, S. S. and TrivediK, K. S. (1999). A time/structure based software reliability model. Annals of Software Engineering 8, 85-121 crossref(new window)

6.
Grottke, M. (2002). A vector Markov model for structural coverage growth and the number of failure occurrences. In Proceedings of the 13th International Symposium on Software Reliability Engineering, 304-315, Annapolis, Maryland

7.
Malaiya, Y. K., Li, M. N., Bieman, J. M. and Karcich, R. (2002). Software reliability growth with test coverage. IEEE Transactions on Reliability, 51, 420-426 crossref(new window)

8.
Park, J.-Y., Hwang, Y.-S. and Fujiwara.,T. (2005a). Integration of imperfect debugging in general testing-domain dependent NHPP SRGM. International Journal of Reliability, Quality and Safety Engineering 12, 493-505 crossref(new window)

9.
Park, J.-Y., Fujiwara, T. and Park, J. H. (2005b). A coverage function for arbitrary testing profile and its performance. International Journal of Reliability and Applications, 6, 87-99

10.
Park, J.-Y. and Fujiwara, T. (2006). Coverage growth functions for software reliability modeling. In Proceedings of 2nd AIWARM, 435-442

11.
Pham, H. and Zhang, X. (2003). NHPP software reliability and cost models with testing coverage. European Journal of Operational Research 145, 443-454 crossref(new window)

12.
Piwowarski, P., Ohba, M. and Caruso, J. (1993). Coverage measure experience during function test. In Proceedings of the 15th international conference on Software Engineering, 287-301, Baltimore, MD

13.
Sedigh-Ali, S., Ghafoor, A. and Paul, R. A. (2002). Temporal modeling of software test coverage. In Proceedings of the 26th Annual International Computer Software and Applications Conference, 823-828, Orlando, Florida

14.
Vouk, M. A. (1992). Using reliability models during testing with no-noperational profiles. Proceedings of 2nd Bellcore/Purdue Workshop Issues in Software Reliability Estimation, 103-111

15.
Yamamoto, T., Inoue, S. and Yamada, S. (2004). A software reliability growth model with testing-coverage maturity process. In Proceedings of the Tenth ISSAT International Conference on Reliability and Quality in Design, 299-303, Las Vegas, NV

16.
Yamada, S. and Fujiwara, T. (2001). Testing-domain dependent software reliability growth models and their comparisons of goodness-of-fit. In Proceedings of the 7th ISSAT International Conference on Reliability and Quality in Design, 8, 205-218