Estimation of an Early WCET Using Different Machine Learning Approaches-Reference-Cited by-同舟云学术

Estimation of an Early WCET Using Different Machine Learning Approaches

Published:2022-10-18 Issue: Volume: Page:297-307
ISSN:2367-3370
Container-title:Advances on P2P, Parallel, Grid, Cloud and Internet Computing
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Author:

Kumar Vikash

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19945-5_30

Reference25 articles.

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3. Hardy, D., Rouxel, B., Puaut, I.: The heptane static worst-case execution time estimation tool. In: 17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2017)

4. Cassé, H., Sainrat, P.: OTAWA, a framework for experimenting WCET computations. In: Conference ERTS 2006 (2006)

5. Rapita Systems: Rapita Systems $$|$$ On-target software verification solutions (2020). https://www.rapitasystems.com. Accessed 17 Mar 2020

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