Title :
Visualizing code profiling line oriented statistics
Author :
Eick, Stephen G. ; Steffen, Joseph L.
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
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;
Conference_Titel :
Visualization, 1992. Visualization '92, Proceedings., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-8186-2897-9
DOI :
10.1109/VISUAL.1992.235206
