Development of the Continuous-Time HGDM with Binomial Sensitivity Factor


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 12, pp. 3490-3499, Dec. 1999
10.3745/KIPSTE.1999.6.12.3490,   PDF Download:

Abstract

The hyger-geometric distribution software reliability growth medel(HGDM) was recently developed and successfully applied to the problem of estimating the number of initial faults residual in a software at the beginning of the test-and-debug phase. Though the HGDM is a time-domain software reliability growth model(SRGM), it is not possible to compare the HGDM with other time-domain SRGMs. Furthermore the usual software reliability can not be computed. These drawbacks are derived from fact that the HGDM is not described in terms of the execution time. Thus we develop a continuous-time HGDM with binomial sensitivity factor in order to remove these drawbacks. Statistical characteristics of the suggested model are studied and its applicability is then examined by analyzing real test data sets. It is empirically shown that the continuous-time HGDM with binomail sensitivity factor can be used as an alternative to the current HGDM.


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Cite this article
[IEEE Style]
J. Y. Park, S. H. Kim, J. H. Park, "Development of the Continuous-Time HGDM with Binomial Sensitivity Factor," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 12, pp. 3490-3499, 1999. DOI: 10.3745/KIPSTE.1999.6.12.3490.

[ACM Style]
Joong Yang Park, Seong Hee Kim, and Jae Heong Park. 1999. Development of the Continuous-Time HGDM with Binomial Sensitivity Factor. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 12, (1999), 3490-3499. DOI: 10.3745/KIPSTE.1999.6.12.3490.