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Multi-granularity Characteristics Analysis of Software Networks

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Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 315))

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Abstract

According to the existing multi level, multi granularity characteristics of object-oriented software structure, the method extracting and analyzing software network from a multi -granularity perspective is proposed. First, the software network is divided into package granularity, class granularity and method granularity of three levels. Then, in-degree and out-degree, clustering coefficient, betweenness some parameters used in complex network theory are introduced to study the topological characteristics of these software networks. Based on the analysis of multi-granularity software network, it will help understand different levels of structure characteristics more completely and deeply. At the same time, it has great practical significance in controlling the complexity of software and researching on software design ideas how to impact software architecture.

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© 2012 Springer-Verlag Berlin Heidelberg

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Sun, W., Jin, C., Liu, J. (2012). Multi-granularity Characteristics Analysis of Software Networks. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2012. Communications in Computer and Information Science, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34240-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-34240-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34239-4

  • Online ISBN: 978-3-642-34240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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