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The neural network model of communication software maintainability assessment

机译:通信软件可维护性评估的神经网络模型

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In order to assess the communication software maintainability in a credible, simple and shortcut way, The fuzzy comprehensive assessment system based on BP neural network is used in this paper. By introducing the fuzzy matrix and BP neural network, the assessment conclusion is accurate when the model is trained. The model mainly consists four steps: the first one is to construct the index system of the software system. The second one is to construct the basic data model. In this step, we need to confirm the fuzzy evaluation matrix, the comprehensive assessment matrix, the evaluation index's weight and the comprehensive assessment result. The third one is to construct the fuzzy comprehensive assessment system based on BP neural network. In this step, expert review samples is used as the learning samples of neural network and then assessment system is used to get the assessment conclusion by calculation. The last one is to use expert evaluation system based on three level BP neural network. After test, it's appoved that there are the application value of using the fuzzy comprehensive assessment system based on BP neural network to Communication software maintainability's assessment.
机译:为了以一种可靠,简便,快捷的方式对通信软件的可维护性进行评估,本文采用了基于BP神经网络的模糊综合评估系统。通过引入模糊矩阵和BP神经网络,训练模型时评估结论是准确的。该模型主要包括四个步骤:第一个步骤是构建软件系统的索引系统。第二个是构建基本数据模型。在此步骤中,需要确定模糊评价矩阵,综合评价矩阵,评价指标的权重和综合评价结果。第三是构建基于BP神经网络的模糊综合评价系统。在这一步骤中,将专家评审样本用作神经网络的学习样本,然后使用评估系统通过计算获得评估结论。最后一个是使用基于三级BP神经网络的专家评估系统。经测试,证明基于BP神经网络的模糊综合评估系统在通信软件可维护性评估中的应用价值。

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