INFER: Interactive Timing Profiles based on Bayesian Networks

Abstract

We propose an approach for timing analysis of software-based embedded computer systems that builds on the established probabilistic framework of Bayesian networks. We envision an approach where we take (1) an abstract description of the control flow within a piece of software, and (2) a set of run-time traces, which are combined into a Bayesian network that… (More)

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Cite this paper

@inproceedings{Zolda2008INFERIT, title={INFER: Interactive Timing Profiles based on Bayesian Networks}, author={Michael Zolda}, booktitle={WCET}, year={2008} }