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Authors: Daniel Atzberger ; Tim Cech ; Merlin de La Haye ; Maximilian Söchting ; Willy Scheibel ; Daniel Limberger and Jürgen Döllner

Affiliation: Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Germany

Keyword(s): Topic Modeling, Software Visualization, Source Code Mining.

Abstract: Software visualization techniques provide effective means for program comprehension tasks as they allow developers to interactively explore large code bases. A frequently encountered task during software development is the detection of source code files of similar semantic. To assist this task we present Software Forest, a novel 2.5D software visualization that enables interactive exploration of semantic similarities within a software system, illustrated as a forest. The underlying layout results from the analysis of the vocabulary of the software documents using Latent Dirichlet Allocation and Multidimensional Scaling and therefore reflects the semantic similarity between source code files. By mapping properties of a software entity, e.g., size metrics or trend data, to visual variables encoded by various, figurative tree meshes, aspects of a software system can be displayed. This concept is complemented with implementation details as well as a discussion on applications.

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Paper citation in several formats:
Atzberger, D.; Cech, T.; de La Haye, M.; Söchting, M.; Scheibel, W.; Limberger, D. and Döllner, J. (2021). Software Forest: A Visualization of Semantic Similarities in Source Code using a Tree Metaphor. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 112-122. DOI: 10.5220/0010267601120122

@conference{ivapp21,
author={Daniel Atzberger. and Tim Cech. and Merlin {de La Haye}. and Maximilian Söchting. and Willy Scheibel. and Daniel Limberger. and Jürgen Döllner.},
title={Software Forest: A Visualization of Semantic Similarities in Source Code using a Tree Metaphor},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP},
year={2021},
pages={112-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010267601120122},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP
TI - Software Forest: A Visualization of Semantic Similarities in Source Code using a Tree Metaphor
SN - 978-989-758-488-6
IS - 2184-4321
AU - Atzberger, D.
AU - Cech, T.
AU - de La Haye, M.
AU - Söchting, M.
AU - Scheibel, W.
AU - Limberger, D.
AU - Döllner, J.
PY - 2021
SP - 112
EP - 122
DO - 10.5220/0010267601120122
PB - SciTePress

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