Hierarchical software landscape visualization for system comprehension: A controlled experiment

Abstract—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 ...

• Type: Journal
• Year: 2016
• Where: SE
• Authors: Florian Fittkau, Alexander Krause, Wilhelm Hasselbring
• Keywords: SE 2016, Software Engineering