Introduction to Software Reliability Models

Author:

Hanagal David D.,Bhalerao Nileema N.

Publisher

Springer Singapore

Reference42 articles.

1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N. Petrov & F. Csaki (Eds.), Second international symposium on information theory (pp. 267–281). Budapest: Academiai Kiado.

2. Chatterjee, S., & Shukla, A. (2016). Change point-based software model under imperfect debugging with revised concept of fault dependency. Journal of Risk and Reliability, 230(6), 579–597.

3. Chen, Y., & Singpurwalla, N. D. (1997). Unification of software reliability models by self-exciting point processes. Advances Application Probability, 29, 337–352.

4. Ehrlich, W., Prasanna, B., Stampfel, J., & Wu, J. (1993). Determining the cost of a stop-testing decision. IEEE Software, 10(2), 33–42.

5. Goel, A. L., & Okumoto, K. (1979a). A Markovian model for reliability and other performances measures of software system. In Proceedings of COMPCON (pp. 769–774). Los Angeles: IEEE Computer Society Press.

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