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Abstract
TuningFork is an online, scriptable data visualization and analysis tool that supports the development and continuous monitoring of real-time systems. While TuningFork was originally designed and tested for use with a particular real-time Java Virtual Machine, the architecture has been designed from the ground up for extensibility by leveraging the Eclipse plug-in architecture. This allows different client programs to design custom data formats, new visualization and analysis components, and new export formats. The TuningFork views allow the visualization of data from time scales of microseconds to minutes, enabling rapid understanding and analysis of system behavior.
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Authors and Affiliations
IBM T.J. Watson Research Center, USA
David F. Bacon, Perry Cheng, David Grove & V. T. Rajan
Department of Computer Science, The Australian National University, Australia
Daniel Frampton
Università della Svizzera Italiana, Switzerland
Matthias Hauswirth
- David F. Bacon
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- Perry Cheng
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- Daniel Frampton
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- David Grove
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- Matthias Hauswirth
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- V. T. Rajan
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Editors and Affiliations
Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, CB3 0FD, Cambridge, UK
Alan Mycroft
Saarland University, Germany
Andreas Zeller
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© 2006 Springer-Verlag Berlin Heidelberg
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Bacon, D.F., Cheng, P., Frampton, D., Grove, D., Hauswirth, M., Rajan, V.T. (2006). Demonstration: On-Line Visualization and Analysis of Real-Time Systems with TuningFork. In: Mycroft, A., Zeller, A. (eds) Compiler Construction. CC 2006. Lecture Notes in Computer Science, vol 3923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11688839_8
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