Measurement-Based Probabilistic Timing Analysis for Multi-path Programs

@article{CucuGrosjean2012MeasurementBasedPT,
  title={Measurement-Based Probabilistic Timing Analysis for Multi-path Programs},
  author={Liliana Cucu-Grosjean and Luca Santinelli and Michael Houston and Code Lo and Tullio Vardanega and Leonidas Kosmidis and Jaume Abella and Enrico Mezzetti and Eduardo Qui{\~n}ones and Francisco J. Cazorla},
  journal={2012 24th Euromicro Conference on Real-Time Systems},
  year={2012},
  pages={91-101}
}
The rigorous application of static timing analysis requires a large and costly amount of detail knowledge on the hardware and software components of the system. Probabilistic Timing Analysis has potential for reducing the weight of that demand. In this paper, we present a sound measurement-based probabilistic timing analysis technique based on Extreme Value Theory. In all the experiments made as part of this work, the timing bounds determined by our technique were less than 15% pessimistic in… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 195 citations. REVIEW CITATIONS

6 Figures & Tables

Topics

Statistics

020402012201320142015201620172018
Citations per Year

196 Citations

Semantic Scholar estimates that this publication has 196 citations based on the available data.

See our FAQ for additional information.