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典型文献
Grey-based approach for estimating software reliability under nonhomogeneous Poisson process
文献摘要:
Due to the randomness and time dependence of the factors affecting software reliability, most software reliability models are treated as stochastic processes, and the non-homo-geneous Poisson process (NHPP) is the most used one. However, the failure behavior of software does not follow the NHPP in a statistically rigorous manner, and the pure random method might be not enough to describe the software failure be-havior. To solve these problems, this paper proposes a new in-tegrated approach that combines stochastic process and grey system theory to describe the failure behavior of software. A grey NHPP software reliability model is put forward in a discrete form, and a grey-based approach for estimating software reliab-ility under the NHPP is proposed as a nonlinear multi-objective programming problem. Finally, four grey NHPP software relia-bility models are applied to four real datasets, the dynamic R-square and predictive relative error are calculated. Comparing with the original single NHPP software reliability model, it is found that the modeling using the integrated approach has a higher prediction accuracy of software reliability. Therefore, there is the characteristics of grey uncertain information in the NHPP software reliability models, and exploiting the latent grey uncer-tain information might lead to more accurate software reliability estimation.
文献关键词:
作者姓名:
LIU Xiaomei;XIE Naiming
作者机构:
College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;College of Science,Jiujiang University,Jiujiang 332005,China
引用格式:
[1]LIU Xiaomei;XIE Naiming-.Grey-based approach for estimating software reliability under nonhomogeneous Poisson process)[J].系统工程与电子技术(英文版),2022(02):360-369
A类:
reliab
B类:
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AB值:
0.438668
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