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Lowering Visual Clutter in Large Component Diagrams

Authors: Lukas Holy; Kamil Jezek; Jaroslav Snajberk; Premek Brada;

Lowering Visual Clutter in Large Component Diagrams

Abstract

Nowadays component applications can easily consist of hundreds or thousands of components and it is thus difficult to understand their structure. Diagram visualisation does not help much because of visual clutter caused by big amount of elements and connections, especially in the case of flat component models. This paper describes a novel approach of removing a large part of connections from the diagram while preserving the information about component interconnections. It uses a separated components area to show the components with big amount of connections. For each component in this area, clustered interfaces are shown instead of all interfaces, with the ability to show details on demand. The main idea of this technique can be used in a similar way to reduce the clutter in node-link graphs. To show the effect of this technique we discuss example lines reductions for several component applications.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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