Integrating Owicki–Gries for C11-style memory models into Isabelle/HOL

Dalvandi, S., Dongol, B., Doherty, S. et al. (1 more author) (2022) Integrating Owicki–Gries for C11-style memory models into Isabelle/HOL. Journal of Automated Reasoning, 66 (1). pp. 141-171. ISSN 0168-7433

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Dalvandi, S.
  • Dongol, B.
  • Doherty, S.
  • Wehrheim, H.
Copyright, Publisher and Additional Information:

© The Author(s) 2021. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: C11; Hoare logic; Owicki–Gries; Isabelle/HOL; Weak memory; Deductive verification
Dates:
  • Published: February 2022
  • Published (online): 16 November 2021
  • Accepted: 27 September 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/R032351/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/R032556/1
Depositing User: Symplectic Sheffield
Date Deposited: 24 Feb 2022 12:20
Last Modified: 24 Feb 2022 12:20
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1007/s10817-021-09610-2
Open Archives Initiative ID (OAI ID):

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