Hierarchical Software Landscape Visualization

Fittkau, Florian, Krause, Alexander and Hasselbring, Wilhelm (2016) Hierarchical Software Landscape Visualization [Paper] In: Software Engineering 2016, 25.02.2016, Wien.

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Abstract

An efficient and effective way to comprehend large software landscapes is required. The current state of the art often visualizes software landscapes via flat graph-based representations of nodes, applications, and their communication. In our ExplorViz visualization, we introduce hierarchical
abstractions aiming at solving typical system comprehension tasks fast and accurately for large software landscapes. To evaluate our hierarchical approach, we conduct a controlled experiment comparing our hierarchical landscape visualization to a flat, state-of-the-art visualization. In addition, we thoroughly analyze the strategies employed by the participants and provide a package containing all our experimental data to facilitate the verifiability, reproducibility, and further extensibility of our results. We observed a statistically significant increase in task correctness of the hierarchical visualization group compared to the flat visualization group in our experiment. The time spent on the system comprehension tasks did not show any significant differences. The results backup our claim that our hierarchical concept enhances the current state of the art in landscape visualization for better software system comprehension.

Document Type: Conference or Workshop Item (Paper)
Keywords: Software Landscape Visualization
Research affiliation: Kiel University > Faculty of Engineering > Department of Computer Science > Software Engineering
Kiel University > Kiel Marine Science
Projects: ExplorViz
Date Deposited: 03 Mar 2016 14:07
Last Modified: 03 Mar 2016 14:08
URI: http://eprints.uni-kiel.de/id/eprint/31687

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