Performance estimation for Software Reliability Growth Model that Use Plot of Failure Data


The KIPS Transactions:PartD, Vol. 10, No. 5, pp. 829-836, Aug. 2003
10.3745/KIPSTD.2003.10.5.829,   PDF Download:

Abstract

Software Reliability Growth Model that have been studied variously. But measurement of correct parameter of this model is not easy. Specially, estimation of correct model about failure data must be establish and estimation of parameter can consist exactly. To get correct testing, we calculate the normal score and describe the normal probability plot. Use the normal probability plot, we estimate the distribution for failure data. In this paper, we estimate the software reliability growth model for through the normal probability plot. In this research, we applies software reliability growth model through distribution characteristics of failure data. If we see plot, we determine the software reliability growth model, we can make sure superior in model´s performance estimation.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
J. H. Jeong, Y. H. Sul, P. I. Su, "Performance estimation for Software Reliability Growth Model that Use Plot of Failure Data," The KIPS Transactions:PartD, vol. 10, no. 5, pp. 829-836, 2003. DOI: 10.3745/KIPSTD.2003.10.5.829.

[ACM Style]
Jeong Hye Jeong, Yang Hae Sul, and Park In Su. 2003. Performance estimation for Software Reliability Growth Model that Use Plot of Failure Data. The KIPS Transactions:PartD, 10, 5, (2003), 829-836. DOI: 10.3745/KIPSTD.2003.10.5.829.