| 一种基于改进的K-means聚类和PSO的软件可靠性模型选择* |
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| 引用本文： | 黄为勇.一种基于改进的K-means聚类和PSO的软件可靠性模型选择*[J].计算机应用研究,2011,28(10):3778-3781. |
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| 作者姓名： | 黄为勇 |
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| 作者单位： | 徐州工程学院信息与电子工程学院,江苏徐州,221008 |
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| 基金项目： | 国家自然科学基金重点资助项目(50534050)；江苏省高校自然科学研究计划资助项目(06KJD460174)；徐州工程学院校科研基金资助项目(XKY2009117) |
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| 摘 要： | 针对软件可靠性选择主要依靠人的主观经验进行判断、缺乏客观性和准确性的问题，提出了一种基于改进的K-means聚类和粒子群优化(PSO)算法的软件可靠性模型选择方法。该方法采用多评价标准编码，选定一种新的规则化距离作为元素间的相似性度量，应用K-means聚类和PSO分析实现了软件可靠性模型的选择。实验结果验证了该方法的有效性，为软件可靠性模型选择提供了一条新途径。
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| 关 键 词： | 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 |
Model selection of software reliability based on improved K-means clustering and PSO |
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| HUANG Wei-yong.Model selection of software reliability based on improved K-means clustering and PSO[J].Application Research of Computers,2011,28(10):3778-3781. |
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| Authors: | HUANG Wei-yong |
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| Affiliation: | (School of Information & Electrical Engineering, Xuzhou Institute of Technology, Xuzhou Jiangsu 221008, China) |
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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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| Keywords: | software reliability model K-means clustering particle swarm optimization (PSO) regularized distance stan-dard codes with multi-evaluation model selection |
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