Visual Realism for the Visualization of Software Metrics & Visualizing Relations in Hierarchical Data using Spline Bundles Danny Holten Reconstructor plenaire meeting, 3 februari 2006

Visual Realism for the Visualization of Software Metrics Danny Holten, Roel Vliegen, and Jarke J. van Wijk

Why Visual Realism? Most visualizations use a limited set of graphical elements:  Text  Simple geometric shapes  Uniform color fills Visual system enables rapid processing of additional cues:  Shading  Texture Visual realism techniques could be used to increase information throughput of visualizations Limited set of graphical elements

Convert source code hierarchy into 2D space-filling visualization: Cushions; use of shading to show hierarchical structure: Treemaps

Visualize an additional metric at the leaf level; three dimensions:  U: Spatial frequency  V: Regularity  C: Contrast Bump mapping Textures

In conclusion… Used visual realism techniques to increase information throughput of software visualizations – more info at once Our experience with the visualizations:  Provide high information density  Not visually overwhelming or confusing  Aesthetically pleasing

Visualizing Relations in Hierarchical Data using Spline Bundles Danny Holten and Jarke J. van Wijk

Software Visualization Often a hierarchy...  Files on disk  Source code...with relations  Call graph  Include relations  Instancing

Problem Statement Visualize relations on top of a hierarchy in such a way that: Visual clutter is minimized The technique can be used for any tree (hierarchy) visualization Both low-level as well as high-level relations can be shown

Example Relation Visualizations

Scalability Issues

Our Approach: Spline Bundles

Comparison – Treemap

Comparison – Radial Tree

Demo

Conclusions and Future Work Spline Bundles  Decrease visual clutter  Can be used on top of any tree visualization  Show low- and high-level relations simultaneously Future work  Finetuning (blending, colors)  Implement exploration and interaction options  More testing with real data (“Call for Data”)

Questions?