Reducing Visual Complexity in Software Maps using Importance-based Aggregation of Nodes

Daniel Limberger, Willy Scheibel, Sebastian Hahn, Jürgen Döllner

2017

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.

Paper Citation

in Harvard Style

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 - Volume 3: IVAPP, (VISIGRAPP 2017) ISBN 978-989-758-228-8, pages 176-185. DOI: 10.5220/0006267501760185

in Bibtex Style

@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 - Volume 3: IVAPP, (VISIGRAPP 2017)},
year={2017},
pages={176-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006267501760185},
isbn={978-989-758-228-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, (VISIGRAPP 2017)
TI - Reducing Visual Complexity in Software Maps using Importance-based Aggregation of Nodes
SN - 978-989-758-228-8
AU - Limberger D.
AU - Scheibel W.
AU - Hahn S.
AU - Döllner J.
PY - 2017
SP - 176
EP - 185
DO - 10.5220/0006267501760185