Hagen Tarner

University of Duisburg-Essen | uni-due · paluno - The Ruhr Institute for Software Technology

Runtime data of software systems is often of multivariate nature, describing different aspects of performance among other characteristics, and evolves along different versions or changes depending on the execution context. This poses a challenge for visualizations, which are typically only two- or three-dimensional. Using dimensionality reduction,...

Evaluation of rendering performance is crucial when selecting or developing algorithms, but challenging as performance can largely differ across a set of selected scenarios. Despite this, performance metrics are often reported and compared in a highly aggregated way. In this paper we suggest a more fine-grained approach for the evaluation of render...

Monitoring code quality and dependencies is an important task to keep software maintainable. While generally well researched, only little work on visually analyzing code quality of component-based front-end web applications exists that considers the specifics of such software systems. We propose an approach to visualize dependencies and code qualit...

Building upon the ideas of storytelling and explorable explanations, we introduce Talking Realities, a concept for producing data-driven interactive narratives in virtual reality. It combines an audio narrative with an immersive visualization to communicate analysis results. The narrative is automatically produced using template-based natural langu...

Visualizing dynamic graphs can explain how relationships between objects evolve over time. We generalize this to visually comparing variants of evolving relationships of the same set of objects. Our visualization is based on a tabular representation that shows time on one axis and different dynamic graph variants on the second axis. The option to s...

Visualizing the evolution of software metrics helps understanding the project progress of a software development team with respect to code quality and related characteristics. Blending this information with performance information can provide relevant insights into crucial changes in execution behavior and their respective context from code changes...

To understand program behavior or find performance bottlenecks in their software, developers need tools to efficiently compare runtime statistics collected across multiple executions. As there is a variety of useful metrics, a good visualization needs to be able to handle multivariate data and highlight the most important differences between multip...