Matthew Arnold, David Grove
CGO 2005
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.
Matthew Arnold, David Grove
CGO 2005
Martin T. Vechev, Eran Yahav, et al.
ACM SIGPLAN Notices
Avraham Leff, James T. Rayfield
OOPSLA 2007
Joshua Auerbach, David F. Bacon, et al.
LCTES 2007