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Authors: Daniel Limberger ; Willy Scheibel ; Sebastian Hahn and Jürgen Döllner

Affiliation: University of Potsdam, Germany

Keyword(s): Treemap, Aggregation, Filtering, Level-of-Detail, Information Visualization, Interaction Technique.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Information and Scientific Visualization ; Software Visualization ; Visual Data Analysis and Knowledge Discovery ; Visual Representation and Interaction

Abstract: Depicting massive software system data using treemaps can result in visual clutter and increased cognitive load. This paper introduces an adaptive level-of-detail (LoD) technique that uses scoring for interactive aggregation on a per-node basis. The scoring approximates importance by degree-of-interest measures as well as screen and user-interaction scores. The technique adheres to established aggregation guidelines and was evaluated by means of two user studies. The first investigates task completion time in visual search. The second evaluates the readability of the presented nesting level contouring for aggregates. With the adaptive LoD technique software maps allow for multi-resolution depictions of software system information while facilitating annotation and efficient identification of important nodes.

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Paper citation in several formats:
Limberger, D.; Scheibel, W.; Hahn, S. and Döllner, J. (2017). Reducing Visual Complexity in Software Maps using Importance-based Aggregation of Nodes. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP; ISBN 978-989-758-228-8; ISSN 2184-4321, SciTePress, pages 176-185. DOI: 10.5220/0006267501760185

@conference{ivapp17,
author={Daniel Limberger. and Willy Scheibel. and Sebastian Hahn. and Jürgen Döllner.},
title={Reducing Visual Complexity in Software Maps using Importance-based Aggregation of Nodes},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP},
year={2017},
pages={176-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006267501760185},
isbn={978-989-758-228-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - IVAPP
TI - Reducing Visual Complexity in Software Maps using Importance-based Aggregation of Nodes
SN - 978-989-758-228-8
IS - 2184-4321
AU - Limberger, D.
AU - Scheibel, W.
AU - Hahn, S.
AU - Döllner, J.
PY - 2017
SP - 176
EP - 185
DO - 10.5220/0006267501760185
PB - SciTePress

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