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- 1 Compound Graph Exploration (Bachelor, Master)
A new graph exploration approach should be examined which is uses different zoom levels for different compound nodes. This tries to map the "Google Maps approach" of only showing the information of interest at any given zoom level to the field of graph exploration. - 1 OpenStreetMap-Based Model Exploration (Bachelor, Master)
Implement a prototype to investigate whether OpenStreetMap can be used to display custom data (such as, say, rendered diagrams) to use its filtering and exploration features for exploring large diagrams. - 3 Control Flow Graph Exploration / Visualization (Bachelor)
Use pragmatics concepts (automatic layout, focus & context) for exploring/visualizing control flow graphs and specific paths, eg. as computed by OTAWA WCET analysis tool, eg. using KLighD. - Generate signal flow graphs from finished module descriptions (Bachelor)
Use pragmatics concepts to parse YAML data and generate browsable signal flow diagrams for an audio application using KLighD. Might also include building an Xtext-based editor to write the YAML files in the first place and help highlight problems. (In conjunction with sonoware GmbH) - Use signal flow graphs for parameterizing / debugging audio system configurations (Master)
The configuration of how signals are routed and how signal processors are configured in an audio system is a complex task. Make configuration and debugging easier by providing a visualization of the current configuration. Also, research what will help developers and users find configuration problems. The resulting software can be integrated into an existing Python-based configuration application, or be developed as a standalone tool that communicates with the audio system through Ethernet. (In conjunction with sonoware GmbH)
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