[1]
H. P. Breivold, I. Crnkovic, and M. Larsson, A systematic review of software architecture evolution research, Information & Software Technology, vol. 54, no. 1, pp. 16-40, 2012.
[2]
P. Bhattacharya, M. Iliofotou, I. Neamtiu, and M. Faloutsos, Graph-based analysis and prediction for software evolution, presented at the 34th International Conference on Software Engineering, Zurich, Switzerland, 2012.
[3]
R. D. Cosmo, D. D. Ruscio, P. Pelliccione, A. Pierantonio, and S. Zacchiroli, Supporting software evolution in component-based FOSS systems, Science of Computer Programming, vol. 76, no. 12, pp. 1144-1160, 2011.
[4]
H. L. Chen and L. I. Ren-Fa, Dynamic evolution mechanism oriented to service-object, Journal of Computer Applications, vol. 30, no. 7, pp. 1974-1977, 2010.
[5]
F. Dai, T. Li, Z. W. Xie, Q. Yu, and P. Lu, Towards an algebraic semantics of software evolution process models, (in Chinese), Journal of Software, vol. 23, no. 4, pp. 846-863, 2012.
[7]
Z. Onderka, DCOM and CORBA efficiency in the wireless network, Computer Networks, vol. 291, pp. 448-458, 2012.
[8]
W. Darwish and K. Beznosov, Analysis of ANSI RBAC support in EJB, International Journal of Secure Software Engineering, vol. 2, no. 2, pp. 25-52, 2011.
[9]
F. Q. Yang, H. Mei, and K. Q. Li, Software reuse and software component technology, (in Chinese), ACTA ELECTRONICA SINICA, vol. 2, no. 27, 1999.
[10]
Y. S. Zhang and X. Li, Design method of software architecture based on component operation, (in Chinese), Computer Engineering, vol. 34, no. 9, pp. 48-49, 2008.
[11]
W. Cazzola and A. Shaqiri, Dynamic software evolution through interpreter adaptation, presented at the 15th International Conference on Modularity, ACM, Málaga, Spain, 2016.
[12]
X. Sun, Y. Chai, Y. Liu, J. Shen, and Y. Huang, Evolution of specialization with reachable transaction scope based on a simple and symmetric firm resource allocation model, Tsinghua Science and Technology, vol. 22, no. 1, pp. 10-28, 2017.
[13]
R. Jiang and M. Yang, Survey on software complexity research, Computer Systems & Applications, vol. 23, no. 9, pp. 1-5, 2014.
[14]
C. Grabow, S. Grosskinsky, and M. Timme, Small-world network spectra in mean-field theory, Physical Review Letters, vol. 108, no. 21, p. 218701, 2012.
[15]
A. Shaukat and J. P. Thivierge, Statistical evaluation of waveform collapse reveals scale-free properties of neuronal avalanches, Frontiers in Computational Neuroscience, vol. 10, no. 163, 2016.
[16]
Y. Liu, J. J. Slotine, and A. L. Barabasi, Controllability of complex networks, Nature, vol. 473, no. 7346, pp. 167-173, 2011.
[17]
D. Chen, L. Lü, M. S. Shang, Y. C. Zhang, and T. Zhou, Identifying influential nodes in complex networks, Physical A Statistical Mechanics & Its Applications, vol. 391, no. 4, pp. 1777-1787, 2012.
[18]
Z. Liu, T. Li, X. Yu, and X. Wang, The verification analysis of the software dynamic evolution topology structure model based on demand and runtime variability parallel driver under the background of large data, presented at the 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer, Tianjin, China, 2016.
[19]
C. Chen, X. H. Hu, K. Zheng, X. Wang, Y. Xiang, and J. Li, HBD: Towards efficient reactive rule dispatching in software-defined networks, Tsinghua Science and Technology, vol. 21, no. 2, pp. 196-209, 2016.
[20]
J. Ruths and D. Ruths, Control profiles of complex networks, Science, vol. 343, no. 6177, pp. 1373-1376, 2014.
[21]
X. Q. Peng, X. D. Yan, and J. X. Wang, Framework to identify protein complexes based on similarity preclustering, Tsinghua Science and Technology, vol. 22, no. 1, pp. 42-51, 2017.