%0 Journal Article
%T Model selection of software reliability based on improved K-means clustering and PSO<br>一种基于改进的K-means聚类和PSO的软件可靠性模型选择*
%A HUANG Wei-yong
%A <br>黄为勇
%J 计算机应用研究
%D 2011
%I 
%X Addressing at the problem that software reliability selection depends mainly on the individual's subjective expe-rience,and lacks objectivity and accuracy,this paper proposed a new method for model selection of software reliability based on improved K-means clustering and particle swarm optimization(PSO).The method used standard codes with multi-evaluation,employed a new regularized distance as similarity measurement between elements,and applied K-means clustering and PSO analysis to realize model selection...
%K software reliability model
%K K-means clustering
%K particle swarm optimization (PSO)
%K regularized distance
%K stan-dard codes with multi-evaluation
%K model selection<br>软件可靠性模型
%K K-means聚类
%K 粒子群优化
%K 规则化距离
%K 多评价标准编码
%K 模型选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE0722536153A643263E1&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=592EC1AE1F90EC3D&eid=1C2C2F7CE5BFAAF5&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=18