GVU Technical Report Number:
GIT-GVU-95-02
Title:
Visualizing Program Executions on Large Data Sets Using Semantic Zooming
Authors:
Jeyakumar Muthukumarasamy
John T. Stasko
Abstract:
Understanding and interpreting a large data source is
an important but challenging operation in many technical disciplines.
Computer visualization has become a valuable tool to help capture and
portray characteristics of large data sets. In software
visualization, illustrating the operation of very large programs or
programs working on very large data sets has remained one of the key
open problems. Here, we introduce an approach that uses semantic
zooming to depict large program executions. Our method utilizes
abstract, clustered graphics to portray program operations on the
entire data set. Then, by interacting with the presentation, a viewer
can zoom in to examine details and individual values. At this
"magnified" level, the presentation adjusts to reflect displays
common in existing algorithm animation and program visualization
systems.
Keywords:
Software visualization, program visualization, semantic zooming,
algorithm animation
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