Talk

Toward Empirically-Based Software Visualization Languages

Sarah Douglas,  Christopher Hundhausen,  Donna McKeown  

 About the Authors

  Keywords
Software Visualization   Visualization Language Design   Visualization Storyboarding   Empirical Studies  

 Abstract

Underlying any single-user software visualization (SV) system is a visualization language onto which its users must map the computations they would like to visualize with the system. We hypothesize that the usability of such systems turns on their ability to provide an underlying visualization language that accords with the ways in which their users conceptualize the computations to be visualized. To explore the question of how to design visualization languages grounded in human conceptualization, we present an empirical study that made use of a research method called visualization storyboarding to investigate the human conceptualization of the bubblesort algorithm. Using an analytical framework based on entities, attributes, and transformations, we derive a semantic-level visualization language for bubblesort, in terms of which all visualizations observed in our study can be expressed. Our empirically-based visualization language provides a means for predicting the usability of the visualization language defined by Lens, a prototypical single-user SV system. We draw from a follow-up usability study of Lens to substantiate our predictions.

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The Visual Language of Experts in Graphic Design Towards a Visual Programming Environment Generator for Algebraic Specifications Index of Talks Proceedings - 11th Intl. Symposium on Visual Languages