The Comparative Study for Software Reliability Models Based on NHPP


The KIPS Transactions:PartD, Vol. 8, No. 4, pp. 393-400, Aug. 2001
10.3745/KIPSTD.2001.8.4.393,   PDF Download:

Abstract

This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP). The failure process is analyzed to develop a suitable mean value function for the NHPP ; expressions are given for several performance measure. Actual software failure data are compared with generalized model by Goel dependent on the constant reflecting the quality of testing. The performance measures and parametric inferences of the new models, Rayleigh and Gumbel distributions, are discussed. The results of the new models are applied to real software failure data and compared with Goel-Okumoto and Yamada, Ohba and Osaki models. Tools of parameter inference was used method of the maximun likelihood estimate and the bisection algorithm for the computing nonlinear root. In this paper, using the sum of the squared errors, model selection was employed. The numerical example by NTDS data was illustrated.


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]
K. H. Kan, H. C. Kim, B. S. Lee, "The Comparative Study for Software Reliability Models Based on NHPP," The KIPS Transactions:PartD, vol. 8, no. 4, pp. 393-400, 2001. DOI: 10.3745/KIPSTD.2001.8.4.393.

[ACM Style]
Kang Hyun Kan, Hee Cheul Kim, and Byoung Soo Lee. 2001. The Comparative Study for Software Reliability Models Based on NHPP. The KIPS Transactions:PartD, 8, 4, (2001), 393-400. DOI: 10.3745/KIPSTD.2001.8.4.393.