Dimitrova, R., Finkbeiner, B. and Torfah, H. (2019) Synthesizing approximate implementations for unrealizable specifications. In: Dillig, I. and Tasiran, S., (eds.) Computer Aided Verification - 31st International Conference, CAV 2019. Computer Aided Verification, 15-18 Jul 2019, New York City, NY, USA. Lecture Notes in Computer Science, 1 (11561). Springer , pp. 241-258. ISBN 9783030255398
Abstract
The unrealizability of a specification is often due to the assumption that the behavior of the environment is unrestricted. In this paper, we present algorithms for synthesis in bounded environments, where the environment can only generate input sequences that are ultimately periodic words (lassos) with finite representations of bounded size. We provide automata-theoretic and symbolic approaches for solving this synthesis problem, and also study the synthesis of approximative implementations from unrealizable specifications. Such implementations may violate the specification in general, but are guaranteed to satisfy the specification on at least a specified portion of the bounded-size lassos. We evaluate the algorithms on different arbiter specifications.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2019 The Author(s). This is an Open Access paper distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Feb 2020 13:00 |
Last Modified: | 05 Feb 2020 02:30 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-25540-4_13 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156423 |