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ABSTRACT

Title : Software Reliability Growth Models for the Safety Critical Software with Imperfect Debugging
Authors : O.Naga Raju
Keywords : Software reliability growth models, testing-effort functions, Software testing, imperfect debugging, Inflection S-shaped NHPP growth model, Estimation methods.
Issue Date : August 2011
Abstract :
In this paper, we will investigate how to perform he log-logistic testing-effort function (TEF) into different software reliability growth models based on non-homogeneous Poisson process (NHPP). The models parameters are estimated by least square estimation (LSE) and maximum likelihood estimation (MLE) methods. The methods of data analysis and comparison criteria are presented and the experimental results from actual data applications are analyzed. Results are compared with the other existing models to show that the proposed models can give fairly better predictions. It is shown that the log-logistic TEF is suitable for incorporating into inflection S-shaped NHPP growth models. In addition, the proposed models are also discussed under imperfect debugging environment.
Page(s) : 3019-3026
ISSN : 0976-5166
Source : Vol. 3, No.8

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