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基于人工神经网络的软件质量评价
引用本文:王李进,吴保国,郑德祥. 基于人工神经网络的软件质量评价[J]. 计算机应用与软件, 2008, 25(12)
作者姓名:王李进  吴保国  郑德祥
作者单位:北京林业大学信息学院,北京,100083;福建农林大学计算机与信息学院,福建,福州,350002;北京林业大学信息学院,北京,100083;福建农林大学计算机与信息学院,福建,福州,350002
基金项目:福建省青年人才计划资助项目  
摘    要:为了提高软件质量评价的准确性,参考各软件质量模型中的质量因素,构建评价指标体系并设计了BP网络结构。通过在MATLAB环境下实例仿真,基于人工神经网络的评价结果与期望的结果是一致的,表明该方法能够准确、科学和客观地评价软件质量。

关 键 词:人工神经网络  软件质量  综合评价

SOFTWARE QUALITY EVALUATION BASED ON ARTIFICIAL NEURAL NETWORK
Wang Lijin,Wu Baoguo,Zheng Dexiang. SOFTWARE QUALITY EVALUATION BASED ON ARTIFICIAL NEURAL NETWORK[J]. Computer Applications and Software, 2008, 25(12)
Authors:Wang Lijin  Wu Baoguo  Zheng Dexiang
Affiliation:Wang Lijin1,2 Wu Baoguo1 Zheng Dexiang21(School of Information,Beijing Forestry University,Beijing 100083,China) 2(School of Computer , Information,Fujian Agriculture , Forestry University,Fuzhou 350002,Fujian,China)
Abstract:To improve the accuracy of software quality evaluation,in this paper an evaluation index system is set up with the reference of quality factors in various software quality models,and the structure of BP network is designed as well.The result of evaluation based on artificial neural network accorded with what was expected in emulation under the Matlab environment.The conclusion is that the method can evaluate software quality more exact,scientific and impersonal.
Keywords:Artificial neural network Software quality Overall evaluation  
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