Authors:
Lukas Holy
;
Petr Picha
;
Richard Lipka
and
Premek Brada
Affiliation:
NTIS – New Technologies for the Information Society, European Centre of Excellence, Faculty of Applied Sciences, University of West Bohemia, Univerzitni 8, Pilsen and Czech Republic
Keyword(s):
Graph Visualization, Visual Clutter, Large Graphs, Software Engineering.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Graph Visualization
;
Information and Scientific Visualization
;
Large Data Visualization
;
Visual Representation and Interaction
;
Visualization Applications
Abstract:
This paper describes a visualization technique designed to help work with complex diagrams containing multiple types of nodes and edges, by using a combination of visual clutter reduction and graph exploration techniques. We show its application, including preliminary evaluation, on software engineering projects data gathered from various tools and repositories used for software development. An online tool implementing the technique and plans for its extension by a connected view of time perspective data are briefly presented.