• DocumentCode
    2034249
  • Title

    Implementation techniques for efficient data-flow analysis of large programs

  • Author

    Atkinson, Darren C. ; Griswold, William G.

  • Author_Institution
    Dept. of Comput. Eng., Santa Clara Univ., CA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    52
  • Lastpage
    61
  • Abstract
    Many software engineering tools such as program slicers must perform data-flow analysis in order to extract necessary information from the program source. These tools typically borrow much of their implementation from optimizing compilers. However, since these tools are expected to analyze programs in their entirety, rather than functions in isolation, the time and space performance of the dataflow analyses are of major concern. We present techniques that reduce the time and space required to perform dataflow analysis of large programs. We have used these techniques to implement an efficient program slicing tool for C programs and have computed slices of programs with more than 100,000 lines of code
  • Keywords
    data flow analysis; optimising compilers; program slicing; reverse engineering; C programs; data-flow analysis; large programs; optimizing compilers; program slicers; program slicing tool; software engineering tools; space performance; time performance; Computer science; Data analysis; Data engineering; Data mining; Information analysis; Optimizing compilers; Performance analysis; Program processors; Programming profession; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance, 2001. Proceedings. IEEE International Conference on
  • Conference_Location
    Florence
  • ISSN
    1063-6773
  • Print_ISBN
    0-7695-1189-9
  • Type

    conf

  • DOI
    10.1109/ICSM.2001.972711
  • Filename
    972711