• DocumentCode
    3301067
  • Title

    Visualizing code profiling line oriented statistics

  • Author

    Eick, Stephen G. ; Steffen, Joseph L.

  • Author_Institution
    AT&T Bell Lab., Murray Hill, NJ, USA
  • fYear
    1992
  • fDate
    19-23 Oct 1992
  • Firstpage
    210
  • Lastpage
    217
  • Abstract
    A visualization technique that makes it possible to display and analyze line count profile data is described. The technique is to make a reduced picture of code with the line execution counts identified with color. Hot spots are shown in red, warm spots in orange, and so on. It is possible to identify nonexecuted code and nonexecutable code such as declarations and static tables
  • Keywords
    colour; data visualisation; program diagnostics; visual programming; code profiling line oriented statistics; color; declarations; line count profile data; line execution counts; nonexecutable code; nonexecuted code; reduced picture; static tables; visual programming; visualization technique; Counting circuits; Data structures; Data visualization; Displays; Instruments; Programming profession; Runtime; Sampling methods; Statistics; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization, 1992. Visualization '92, Proceedings., IEEE Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-8186-2897-9
  • Type

    conf

  • DOI
    10.1109/VISUAL.1992.235206
  • Filename
    235206
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3301067