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。
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.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第12期133-134,150,共3页
Computer Applications and Software
基金
福建省青年人才计划资助项目(2006F3015)
关键词
人工神经网络
软件质量
综合评价
Artificial neural network Software quality Overall evaluation
