• DocumentCode
    2586622
  • Title

    Mining Important Topological Properties in Large-Scale Computer Software Systems Based on Complex Networks

  • Author

    Sun, Shiwen ; Xia, Chengyi ; Li Wang ; Wang, Lanying

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    19-20 Dec. 2010
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    Recently, large-scale computer software systems have attached a great deal of attention when they are regarded as complex networks composed of interacting units. In this paper, the collaboration relationships between header files in the source code of Linux kernels are analyzed by constructing a weighted File Collaboration Network(FCN): each node represents a header file, two nodes are connected if corresponding header files are both included in the same source file at least once, also the link weight is assigned to evaluate the intensity of co inclusion of two header files. Through using appropriate non-weighted and weighted quantities, structural properties of FCNs are characterized and analyzed. The study of large-scale softwares from the viewpoint of complex networks can provide a better description of the organizational principles and evolving mechanism of complex software systems.
  • Keywords
    Linux; complex networks; computer software; groupware; operating system kernels; peer-to-peer computing; FCN; Linux kernel; co-inclusion intensity; collaboration relationship; complex network; header files; large scale computer software system; link weight; nonweighted quantity; organizational principle; source code; structural property; topological property mining; weighted file collaboration network; Software engineering; Complex Network; File Collaboration Network (FCN); Linux Kernel; Topological Properties; Weighted Quanties;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2010 Second World Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9287-9
  • Type

    conf

  • DOI
    10.1109/WCSE.2010.135
  • Filename
    5718340