Linux kernels as complex networks: A novel method to study evolution

Lei Wang, Zheng Wang, Chen-Yang Yang, Li Zhang, Qiang Ye
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引用次数: 33

Abstract

In recent years, many graphs have turned out to be complex networks. This paper presents a novel method to study Linux kernel evolution — using complex networks to understand how Linux kernel modules evolve over time. After studying the node degree distribution and average path length of the call graphs corresponding to the kernel modules of 223 different versions (V1.1.0 to V2.4.35), we found that the call graphs of the file system and drivers module are scale-free small-world complex networks. In addition, both of the file system and drivers module exhibit very strong preferential attachment tendency. Finally, we proposed a generic method that could be used to find major structural changes that occur during the evolution of software systems.
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作为复杂网络的Linux内核:一种研究进化的新方法
近年来,许多图都变成了复杂的网络。本文提出了一种研究Linux内核演化的新方法——利用复杂网络来理解Linux内核模块是如何随时间演化的。通过研究223个不同版本(V1.1.0 ~ V2.4.35)内核模块对应的调用图的节点度分布和平均路径长度,我们发现文件系统和驱动模块的调用图都是无标度的小世界复杂网络。此外,文件系统和驱动模块都表现出很强的优先依附倾向。最后,我们提出了一种通用的方法,可以用来发现软件系统发展过程中发生的主要结构变化。
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