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Communication Dans Un Congrès Année : 2019

Work-in-Progress: Why Statistical Power matters for Probabilistic Real-Time

Résumé

The probabilistic approaches for real-time systems are based on the estimation of the probabilistic-WCET distribution. Such estimation is naturally subject to errors, caused by both systematic and estimation uncertainties. To solve this problem, statistical tests are applied on the resulting distribution to check whether such errors affect or not the output validity. In this paper, we show that the reliability of these tests depends on the statistical power that must be estimated in order to select the proper sample size. This a priori analysis is required to obtain a reliable result of the probabilistic-WCET.
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Dates et versions

hal-02901350 , version 1 (17-07-2020)

Identifiants

  • HAL Id : hal-02901350 , version 1

Citer

Federico Reghenzani, Luca Santinelli, William Fornaciari. Work-in-Progress: Why Statistical Power matters for Probabilistic Real-Time. 2019 International Conference on Embedded Software (EMSOFT), Oct 2019, NEW YORK, United States. ⟨hal-02901350⟩

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