Early Software Reliability Prediction: an Approach Based on Fuzzy Neural Network
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摘要: 在基于模糊神经网络的基础上,提出了一种新的软件可靠性早期预计方法.通过分析软件缺陷产生的原因,给出了导致软件缺陷产生的因素.同时,深入讨论了软件可靠性早期预计的建模方法.在此基础上,利用模糊神经网络建立了软件可靠性早期预计的模型,并且给出了具体的步骤.Abstract: Based on the fuzzy neural network, an approach to early software reliability prediction is proposed. The reason of the software defects generated is analyzed and the factors which introduce the defects during software creation are presented. It is pointed out that fuzzy and using experience are the characteristics of the factors and the modeling in early software reliability prediction must consider them. The modeling method for early software reliability prediction is discussed and the detail steps for the approach are given. Future research works about this approach such as how to quantify the inputs of the model and how to train the fuzzy neural network are also mentioned.
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[1] Michael Lyu. Handbook of software reliability engineering[M]．New York:McGraw Hill and IEEE,1996. [2] Smidts Carol, Stutzke Martin.Software reliability modeling:an approach to early reliability prediction[J]．IEEE Trans Reliability,1998,47(3):268~278． [3] Edware C Soistman, Katherine B Ragsdale. Impact of hardware and software fault on system reliability study results ．AD-A-165 231,1988. [4] May J. Fault prediction for software[M]．Oxford:Oxford University Press,1995. [5] 赵振宇,徐用懋．模糊理论和神经网络的基础与应用[M]．北京:清华大学出版社,1996. -
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