Abstract
Software reliability modelling (SRM) is a mathematics technique to estimate some measures of computer system that relate to software reliability. One group of existing models is using non-homogeneous Poisson process (NHPP) whose fault-number and failure-rate are constant or time-dependent functions. A few studies have been manipulated S-shaped curve to construct their models. However, those works remain some limitations. In this study, we introduce a new model that is based on a generalised S-shaped curve and evaluate it by real data set. After installing it in real code of Matlab and using MLE method to estimate parameter with a range of initial solution, we prove that our model converge to the most basic model of NHPP group, Goel-Okumoto model.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Hung-Cuong, N., Quyet-Thang, H. (2015). New NHPP SRM Based on Generalized S-shaped Fault-Detection Rate Function. In: Vinh, P., Vassev, E., Hinchey, M. (eds) Nature of Computation and Communication. ICTCC 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-319-15392-6_21
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DOI: https://doi.org/10.1007/978-3-319-15392-6_21
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