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软件宏观拓扑结构紧密度的演化分析
引用本文:徐久强,桂敬文,赵海,黄晨洋.软件宏观拓扑结构紧密度的演化分析[J].东北大学学报(自然科学版),2013,34(5):646-649.
作者姓名:徐久强  桂敬文  赵海  黄晨洋
作者单位:1. 东北大学信息科学与工程学院,辽宁沈阳,110819
2. 哈尔滨工业大学航天学院,黑龙江哈尔滨,150001
基金项目:国家自然科学基金资助项目,中央高校基本科研业务费青年教师科研启动基金资助项目
摘    要:选取大量开源软件的多个版本作为样本,以复杂网络作为研究工具,分析了软件结构的平均紧密度的演化趋势、平均紧密度稳定值、紧密度的分布、新增节点紧密度的分布、紧密度最高的前10个节点的演化.分析结果表明,软件网络的平均紧密度最终会趋向于一个稳定值;紧密度分布整体上呈现明显的单峰特性,说明软件中存在少数紧密度大的模块,这些节点处于软件网络的核心,是研究的重点.由此可知,软件网络的紧密度是度量软件的一个有效参数,对指导软件开发有重要作用.

关 键 词:软件网络  软件演化  紧密度  中心化  复杂网络  

Evolution Analysis of Closeness of Software Macro-topology
Xu,Jiu-Qiang ,Gui,Jing-Wen ,Zhao,Hai ,Huang,Chen-Yang.Evolution Analysis of Closeness of Software Macro-topology[J].Journal of Northeastern University(Natural Science),2013,34(5):646-649.
Authors:Xu  Jiu-Qiang  Gui  Jing-Wen  Zhao  Hai  Huang  Chen-Yang
Institution:(1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Abstract:A large number of open-source software systems were taken as samples. The evolution trend of average closeness, the stable value of average closeness, the closeness distribution, the closeness distribution of the new added nodes, and the evolution of the top 10 nodes with the highest closeness were analyzed by using complex network as research tool. The analysis results showed that the average closeness of software networks will trend to a stable value. The closeness distribution presented a single peak characteristic, meaning that there are small numbers of modules with large closeness in the software. These nodes are in the core of the software network, and they are the focus of study. It can be concluded that the closeness of software network is a useful parameter to measure software and is significant to the guidance for software development.
Keywords:software networks  software evolution  closeness  centralization  complex network  
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