Abstract
In an actual testing-phase, software testing manager usually observes a change of the software failure-occurrence phenomenon due to some factors being related to the software reliability growth process. Testing-time when behavior of the software failure-occurrence time interval notably changes is called change-point. Such change influences accuracy of software reliability assessment based on a software reliability growth model. This paper discusses software reliability growth modeling with the influence of the change-point by using the environmental function. Then, we check goodness-of-fit of our change-point models to actual data by comparing with the existing non-change-point models.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yamada, S., Osaki, S.: Software reliability growth modeling: Models and applications. IEEE Trans. Soft. Eng. SE-11(12), 1431–1437 (1985)
Musa, J.D., Iannio, D., Okumoto, K.: Software Reliability: Measurement, Prediction, Application. McGraw-Hill, New York (1987)
Pham, H.: Software Reliability. Springer, Singapore (2000)
Zhao, M.: Change-point problems in software and hardware reliability. Commun. Statist. — Theory Meth. 22(3), 757–768 (1993)
Huang, C.Y.: Performance analysis of software reliability growth models with testing-effort and change-point. J. Sys. Soft. 76(2), 181–194 (2005)
Zou, F.Z.: A change-point perspective on the software failure process. Softw. Test., Verif. Reliab. 13(2), 85–93 (2003)
Zhao, J., Liu, H.W., Cui, G., Yang, X.Z.: Software reliability growth model with change-point and environmental function. J. Sys. Soft. 79(11), 1578–1587 (2006)
Langberg, N., Singpurwalla, N.D.: A unification of some software reliability models. SIAM J. Scien. Comput. 6(3), 781–790 (1985)
Miller, D.S.: Exponential order statistic models of software reliability growth. IEEE Trans. Soft. Eng. SE-12(1), 12–24 (1986)
Raftery, A.E.: Inference and prediction for a general order statistic model with unknown population size. J. ASA 82(400), 1163–1168 (1987)
Joe, H.: Statistical inference for general-order-statistics and nonhomogeneous-Poisson-process software reliability models. IEEE Trans. Soft. Eng. 15(11), 1485–1490 (1989)
Okamura, H., Dohi, T., Osaki, S.: A reliability assessment method for software products in operational phase? Proposal of an accelerated life testing model. Trans. IEICE J83-A(3), 294–301 (2000) (in Japanese)
Goel, A.L., Okumoto, K.: Time-dependent error-detection rate model for software reliability and other performance measures. IEEE Trans. Reliab. R-28(3), 206–211 (1979)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Inoue, S., Yamada, S. (2011). Software Reliability Growth Modeling with Change-Point and Its Goodness-of-Fit Comparisons. In: Kim, Th., et al. Software Engineering, Business Continuity, and Education. ASEA 2011. Communications in Computer and Information Science, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27207-3_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-27207-3_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27206-6
Online ISBN: 978-3-642-27207-3
eBook Packages: Computer ScienceComputer Science (R0)