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Analysis on Key Nodes Behavior for Complex Software Network

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Information Computing and Applications (ICICA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7473))

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Abstract

It is important to understand software structural complexity and execution behavior in controlling the software development and maintenance process. Difference from previous work which based on structure network built on method association of software, we explore the topological characteristics of software execution behavior based on complex network and model the software execution network based on method invocation sequences. Taking typical open-source software under Linux for example, we build execution network based on the method call relationships, and then explore typical topology measurements of the key node and its adjacent network in software execution network. The result shows that the key nodes with high degree or high betweenness plays an important role in execution process of software system and the execution network can be divided into several levels, which has an important significance for maintenance and quality assurance for software.

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References

  1. Gonzalez, M.C., Barabasi, A.L.: Complex networks – From data to models. Nature Physics 3, 224–225 (2007)

    Article  Google Scholar 

  2. Zhang, H.H., et al.: Using the k-core decomposition to analyze the static structure of large-scale software systems. J. Supercomput. 53, 352–369 (2010)

    Article  Google Scholar 

  3. Moyano, L.G., Mouronte, M.L., Vargas, M.L.: Communities and dynamical processes in a complex software network. Physica A 390, 741–748 (2011)

    Article  Google Scholar 

  4. Myers, C.R.: Software systems as complex networks: Structure, function, and evolvability of software collaboration graphs. Phys. Rev. E 68, 046116 (2003)

    Google Scholar 

  5. Fortunato, S.: Community detection in graphs. Physics Reports 486, 75–174 (2010)

    Article  MathSciNet  Google Scholar 

  6. Liu, Y.Y., Slotine, J.J., Barabasi, A.L.: Controllability of complex networks. Nature 473, 167–173 (2011)

    Article  Google Scholar 

  7. Jenkins, S., Kirk, S.R.: Software architecture graphs as complex networks: A novel partitioning scheme to measure stability and evolution. Information Sciences 177, 2587–2601 (2007)

    Article  Google Scholar 

  8. Li, H.A., Li, B.: A Pair of Coupling Metrics for Software Networks. Journal of Systems Science & Complexity 24(1), 51–60 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  9. Zhang, H.H., et al.: Using the k-core decomposition to analyze the static structure of large-scale software systems. Journal of Supercomputing 53(2), 352–369 (2010)

    Article  Google Scholar 

  10. Savic, M., Ivanovic, M., Radovanovic, M.: Characteristics of Class Collaboration Networks in Large Java Software Projects. Information Technology and Control 40(1), 48–58 (2011)

    Article  Google Scholar 

  11. Cai, K.Y., Yin, B.B.: Software execution processes as an evolving complex network. Information Sciences 179(12), 1903–1928 (2009)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, X., Zhao, G., Lv, T., Yin, Y., Zhang, B. (2012). Analysis on Key Nodes Behavior for Complex Software Network. In: Liu, B., Ma, M., Chang, J. (eds) Information Computing and Applications. ICICA 2012. Lecture Notes in Computer Science, vol 7473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34062-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-34062-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34061-1

  • Online ISBN: 978-3-642-34062-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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