基于模糊神经网络的软件可靠性早期预计方法

Early Software Reliability Prediction: an Approach Based on Fuzzy Neural Network

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 。

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 variables and using experience are the characteristics of the factors, and in the modeling of early software reliability prediction we 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.