Open Challenges for Probabilistic Measurement-Based Worst-Case Execution Time

Jimenez Gil, Samuel, Bate, Iain orcid.org/0000-0003-2415-8219, Lima, George et al. (3 more authors) (2017) Open Challenges for Probabilistic Measurement-Based Worst-Case Execution Time. IEEE Embedded Systems Letters. 7942057. pp. 69-72. ISSN 1943-0663

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Copyright, Publisher and Additional Information: ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Keywords: Embedded software,real-time systems,statistical distributions,Control and Systems Engineering,Computer Science
Dates:
  • Published: 1 September 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 03 Oct 2017 09:30
Last Modified: 28 Nov 2021 11:22
Published Version: https://doi.org/10.1109/LES.2017.2712858
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1109/LES.2017.2712858
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