摘要
软件可靠性是软件工程的一个重要的研究课题。软件可靠性模型可以预测软件产品的缺陷累计率。在GM(1,1)模型、DGM(2,1)模型和Verhulst模型的基础上,结合BP神经网络的理论对软件可靠性进行建模。通过理论分析和预测实验表明,该方法是可行的,拓宽了软件可靠性模型的研究方法。
The software reliability is an important subject of the software engineering field. Software reliability model can predict defect arrival rate. This paper uses the gray theory and neural network computing technology to build software reliability modeling, and shows that the method is feasible to broaden the software reliability model research methods through theoretical analysis and prediction experiments.
出处
《计算机应用与软件》
CSCD
2009年第12期34-36,共3页
Computer Applications and Software
基金
国家自然科学基金(60463002)
关键词
灰色神经网络
软件可靠性
新陈代谢
Gray model and neural network Software reliability Metabolic
