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Mining Important Topological Properties in Large-Scale Computer Software Systems Based on Complex Networks

机译:基于复杂网络的大型计算机软件系统中的挖掘重要拓扑特性

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Recently, large-scale computer software systems have attached a great deal of attention when they are regarded as complex networks composed of interacting units. In this paper, the collaboration relationships between header files in the source code of Linux kernels are analyzed by constructing a weighted File Collaboration Network(FCN): each node represents a header file, two nodes are connected if corresponding header files are both included in the same source file at least once, also the link weight is assigned to evaluate the intensity of co inclusion of two header files. Through using appropriate non-weighted and weighted quantities, structural properties of FCNs are characterized and analyzed. The study of large-scale softwares from the viewpoint of complex networks can provide a better description of the organizational principles and evolving mechanism of complex software systems.
机译:最近,当大型计算机软件系统被视为由交互单元组成的复杂网络时,大量关注。在本文中,通过构造加权文件协作网络(FCN)来分析Linux内核源代码中的标题文件之间的协作关系:每个节点代表头文件,如果相应的头文件都包括在,则连接两个节点相同的源文件至少一次,也分配了链路权重,以评估两个报头文件的Co包含的强度。通过使用适当的未加权和加权量,特征和分析FCN的结构性质。从复杂网络的角度来看,大规模软件的研究可以更好地描述复杂软件系统的组织原则和不断发展机制。

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