• DocumentCode
    2208687
  • Title

    Identifying high-level dependence structures using slice-based dependence analysis

  • Author

    Li, Zheng

  • Author_Institution
    Dept. of Comput. Sci., CREST, London, UK
  • fYear
    2009
  • fDate
    20-26 Sept. 2009
  • Firstpage
    457
  • Lastpage
    460
  • Abstract
    This thesis presented a framework of the possible combination of approaches for low-level program slicing-based-dependence analysis and high-level concept assignment. Three combination techniques, concept extension, concept abbreviation and concept refinement, are presented and empirical studied to address the problem of program maintenance. The ten C subject programs are studied and more than 600 concept bindings are identified. Dependence based metrics are defined to evaluate three techniques that provides evidence of both advantages and disadvantages.
  • Keywords
    C language; software maintenance; software metrics; C subject programs; Dependence based metrics; concept abbreviation technique; concept extension technique; concept refinement technique; high-level concept assignment; program maintenance; slice-based dependence analysis; Computer science; Costs; Data analysis; Educational institutions; Pattern analysis; Pattern recognition; Proposals; Scalability; Software maintenance; Testing; Concept Assignment; Dependence Analysis; Slicing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance, 2009. ICSM 2009. IEEE International Conference on
  • Conference_Location
    Edmonton, AB
  • ISSN
    1063-6773
  • Print_ISBN
    978-1-4244-4897-5
  • Electronic_ISBN
    1063-6773
  • Type

    conf

  • DOI
    10.1109/ICSM.2009.5306275
  • Filename
    5306275