A modular attachment mechanism for software network evolution
A modular attachment mechanism for software network evolution
复制标题
软件网络演进的模块化附着机制
DOI：
10.1016/j.physa.2013.01.035
复制
发表时间：
2013-05
期刊：
影响因子：
--
通讯作者：
Ai, Jun1
中科院分区：
文献类型：
--
作者：
Li, Hui1;Zhao, Hai1;Cai, Wei1;Xu, Jiu-Qiang1;Ai, Jun1
本文提出了一种软件网络演化的模块化依附机制。与以前的模型相比，我们将面向对象的软件系统视为模块化网络本质上更加现实。为了在新节点连接到现有网络时获取有向网络中的传入和传出链路，给出了非对称概率的新定义。在此基础上，采用模块化附件代替以往型号中的单节点附件。所提出的机制被证明能够生成具有幂律、小世界和模块化特征的网络，这代表了实际软件网络的更现实的属性。因此，这项工作有助于更准确地理解软件系统的进化机制。此外，还对各种软件开发原理对软件系统结构的影响进行了探索，有望有益于软件工程实践。
A modular attachment mechanism of software network evolution is presented in this paper. Compared with the previous models, our treatment of object-oriented software system as a network of modularity is inherently more realistic. To acquire incoming and outgoing links in directed networks when new nodes attach to the existing network, a new definition of asymmetric probabilities is given. Based on this, modular attachment instead of single node attachment in the previous models is then adopted. The proposed mechanism is demonstrated to be able to generate networks with features of power-law, small-world, and modularity, which represents more realistic properties of actual software networks. This work therefore contributes to a more accurate understanding of the evolutionary mechanism of software systems. What is more, explorations of the effects of various software development principles on the structure of software systems have been carried out, which are expected to be beneficial to the software engineering practices.
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DOI：
10.1109/tsmcb.2008.2008102
发表时间：
2009-06
期刊：
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
影响因子：
--
作者：
Lian Wen;R. Dromey;Diana Kirk
通讯作者：
Lian Wen;R. Dromey;Diana Kirk
影响因子：
2.1
作者：
K. He;Rong Peng;J. Liu;Fei He;Peng Liang;Bing Li
通讯作者：
K. He;Rong Peng;J. Liu;Fei He;Peng Liang;Bing Li
DOI：
--
发表时间：
2003-07
期刊：
arXiv: Disordered Systems and Neural Networks
影响因子：
--
作者：
S. Valverde;R. Solé
通讯作者：
S. Valverde;R. Solé
影响因子：
22.7
作者：
Potanin, A;Noble, J;Biddle, R
通讯作者：
Biddle, R
影响因子：
64.8
作者：
Albert, R;Jeong, H;Barabási, AL
通讯作者：
Barabási, AL