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Demonstration: On-line visualization and analysis of real-time systems with TuningFork

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2006) 3923 LNCS 96-100
DOI: 10.1007/11688839_8
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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. © Springer-Verlag Berlin Heidelberg 2006.

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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3923 LNCS, pp. 96–100). https://doi.org/10.1007/11688839_8

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