Software Structural Stability Evaluation Method Based on Motifs

Article Preview

Abstract:

The issue on finding an effective evaluation method on software structural stability is rarely touched upon in software security research. An assessment method of software microstructural stability was developed by Khalil in 2002. A new evaluation method on software structural stability is proposed in this paper, which is based on Motifs according to the theory of complex networks. Average shortest path length comparison and clustering coefficient with degree distribution are used in the method, in which the key evaluation indexes are used to analyze software structural stability. The comparison experiments have been done between the proposed method and Khalil’s method. 10 real software systems of different sizes and types are selected in the experiments to verify the proposed evaluation method. The result shows that the proposed method is correct and effective.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2128-2134

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Trivedi K S. Sharpe: DSN 2002. Proceedings. International Conference on. IEEE, 2002: 544.

Google Scholar

[2] Rubinov M, Sporns O: submitted to Journal of Neuroimage (2010).

Google Scholar

[3] Riera-Fernandez P, R Munteanu C, Martin-Romalde R: submitted to Journal of Current Bioinformatics (2013).

Google Scholar

[4] Khalil H K, Grizzle J W: Nonlinear systems. Upper Saddle River: Prentice hall (2002).

Google Scholar

[5] Prill R J, Iglesias P A, Levchenko A: submitted to Journal of PLoS biology (2005).

Google Scholar

[6] Kantz H: submitted to Journal of Physics letters A (1994).

Google Scholar

[7] Evans E E, Theriault R J: submitted to Journal of bacteriology (1953).

Google Scholar

[8] Milo R, Shen-Orr S, Itzkovitz S, submitted to Journal of Science (2002).

Google Scholar

[9] Peng Luo, Yongli Li, Chong Wu, submitted to Journal of Complex System and Complex Science (2013) In Chinese.

Google Scholar

[10] Wu Du, Meng Cai, Haifeng Du: submitted to Journal of Xi'an Jiaotong University (2010) In Chinese.

Google Scholar

[11] Jinsuo Qiao, Xifu Wang, Xisheng Shen: submitted to Journal of Beijing Jiaotong University (2013) In Chinese.

Google Scholar

[12] Abrikosov A A, Gorkov L P, Dzyaloshinski I E: Methods of quantum field theory in statistical physics, edtied by Courier Dover Publications (2012).

Google Scholar

[13] Zhao L, Wang J, Huang R, submitted to Journal of Physica A (2014).

Google Scholar

[14] SoléeR V. submitted to Journal of Taylor & Francis (2012).

Google Scholar