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Cazorla, FJ.; Kosmidis, L.; Mezzetti, E.; Hernández Luz, C.; Abella, J.; Vardanega, T. (2019). Probabilistic Worst-Case Timing Analysis: Taxonomy and Comprehensive Survey. ACM Computing Surveys. 52(1):1-35. https://doi.org/10.1145/3301283
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/147545
Título: | Probabilistic Worst-Case Timing Analysis: Taxonomy and Comprehensive Survey | |
Autor: | Cazorla, Francisco J. Kosmidis, L. Mezzetti, E. Abella, Jaume Vardanega, Tullio | |
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[EN] The unabated increase in the complexity of the hardware and software components of modern embedded real-time systems has given momentum to a host of research in the use of probabilistic and statistical techniques for ...[+]
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Derechos de uso: | Reserva de todos los derechos | |
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Versión del editor: | https://doi.org/10.1145/3301283 | |
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This work has also been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2015-65316-P, the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation ...[+]
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