Hierarchical Software Landscape Visualization for System Comprehension: A Controlled Experiment

Fittkau, Florian, Krause, Alexander and Hasselbring, Wilhelm (2015) Hierarchical Software Landscape Visualization for System Comprehension: A Controlled Experiment [Paper] In: 3rd IEEE Working Conference on Software Visualization, 27-28 September 2015, Bremen, Germany.

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In many enterprises the number of deployed applications is constantly increasing. Those applications - often several hundreds - form large software landscapes. The comprehension of such landscapes is frequently impeded due to, for instance, architectural erosion, personnel turnover, or changing requirements. Therefore, an efficient and effective way to comprehend such 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 of 14% 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.

Document Type: Conference or Workshop Item (Paper)
Keywords: Software Landscapes, Software Visualization, Controlled Experiment
Research affiliation: Kiel University > Software Engineering
Kiel University > Kiel Marine Science
Related URLs:
Projects: ExplorViz
Date Deposited: 10 Aug 2015 08:06
Last Modified: 20 Apr 2016 11:46
URI: http://eprints.uni-kiel.de/id/eprint/29386

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