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Model selection of software reliability based on improved K-means clustering and PSO
一种基于改进的K-means聚类和PSO的软件可靠性模型选择*

Keywords: software reliability model,K-means clustering,particle swarm optimization (PSO),regularized distance,stan-dard codes with multi-evaluation,model selection
软件可靠性模型
,K-means聚类,粒子群优化,规则化距离,多评价标准编码,模型选择

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Abstract:

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...

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