@InProceedings{dongol_et_al:LIPIcs.CONCUR.2022.31,
author = {Dongol, Brijesh and Schellhorn, Gerhard and Wehrheim, Heike},
title = {{Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement}},
booktitle = {33rd International Conference on Concurrency Theory (CONCUR 2022)},
pages = {31:1--31:23},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-246-4},
ISSN = {1868-8969},
year = {2022},
volume = {243},
editor = {Klin, Bartek and Lasota, S{\l}awomir and Muscholl, Anca},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2022.31},
URN = {urn:nbn:de:0030-drops-170947},
doi = {10.4230/LIPIcs.CONCUR.2022.31},
annote = {Keywords: Strong Observational Refinement, Hyperproperties, Forward Simulation, Weak Progressiveness}
}