David F. Bacon
Perry Cheng
David Grove
ABSTRACT
Debugging the timing behavior of real-time systems is notoriously difficult, and with a new generation of complex systems consisting of tens of millions of lines of code, the difficulty is increasing enormously. We have developed TuningFork, a tool especially designed for visualization and analysis of large-scale real-time systems. TuningFork is capable of recording high-frequency events at sub-microsecond resolution with minimal perturbation. Users can visualize system activity online in real-time and interactively explore the data. Data can be gathered from multiple layers and/or components and synthesized into visualizations that illuminate whole system interactions. Interactive exploration of hypothesis is naturally supported by direct manipulation to quickly build up complex visualizations.
- BACON, D. F., CHENG, P., FRAMPTON, D., AND GROVE, D. Tuningfork: Visualization, analysis, and debugging of complex real-time systems. Tech. Rep. RC24162, IBM Research, 2007.Google Scholar
- IBM. TuningFork Visualization Tool for Real-Time Systems. URL www.alphaworks.ibm.com/tech/tuningfork, 2006.Google Scholar
Index Terms
- TuningFork: a platform for visualization and analysis of complex real-time systems
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