Regular symmetry patterns
Symmetry reduction is a well-known approach for alleviating the state explosion problem in model checking. Automatically identifying symmetries in concurrent systems, however, is computationally expensive. We propose a symbolic framework for capturing symmetry patterns in parameterised systems (i.e....
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4972 https://ink.library.smu.edu.sg/context/sis_research/article/5975/viewcontent/regular.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.sis_research-5975 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.sis_research-59752020-03-12T07:26:56Z Regular symmetry patterns LIN, Anthony W. NGUYEN, Truong Khanh RÜMMER, Philipp SUN, Jun Symmetry reduction is a well-known approach for alleviating the state explosion problem in model checking. Automatically identifying symmetries in concurrent systems, however, is computationally expensive. We propose a symbolic framework for capturing symmetry patterns in parameterised systems (i.e. an infinite family of finite-state systems): two regular word transducers to represent, respectively, parameterised systems and symmetry patterns. The framework subsumes various types of “symmetry relations” ranging from weaker notions (e.g. simulation preorders) to the strongest notion (i.e. isomorphisms). Our framework enjoys two algorithmic properties: (1) symmetry verification: given a transducer, we can automatically check whether it is a symmetry pattern of a given system, and (2) symmetry synthesis: we can automatically generate a symmetry pattern for a given system in the form of a transducer. Furthermore, our symbolic language allows additional constraints that the symmetry patterns need to satisfy to be easily incorporated in the verification/synthesis. We show how these properties can help identify symmetry patterns in examples like dining philosopher protocols, self-stabilising protocols, and prioritised resource-allocator protocol. In some cases (e.g. Gries’s coffee can problem), our technique automatically synthesises a safety-preserving finite approximant, which can then be verified for safety solely using a finite-state model checker. 2016-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4972 info:doi/10.1007/978-3-662-49122-5_22 https://ink.library.smu.edu.sg/context/sis_research/article/5975/viewcontent/regular.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Permutation Group Concurrent System Pushdown Automaton Symmetry Pattern Regular Relation Software Engineering |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Permutation Group Concurrent System Pushdown Automaton Symmetry Pattern Regular Relation Software Engineering |
spellingShingle |
Permutation Group Concurrent System Pushdown Automaton Symmetry Pattern Regular Relation Software Engineering LIN, Anthony W. NGUYEN, Truong Khanh RÜMMER, Philipp SUN, Jun Regular symmetry patterns |
description |
Symmetry reduction is a well-known approach for alleviating the state explosion problem in model checking. Automatically identifying symmetries in concurrent systems, however, is computationally expensive. We propose a symbolic framework for capturing symmetry patterns in parameterised systems (i.e. an infinite family of finite-state systems): two regular word transducers to represent, respectively, parameterised systems and symmetry patterns. The framework subsumes various types of “symmetry relations” ranging from weaker notions (e.g. simulation preorders) to the strongest notion (i.e. isomorphisms). Our framework enjoys two algorithmic properties: (1) symmetry verification: given a transducer, we can automatically check whether it is a symmetry pattern of a given system, and (2) symmetry synthesis: we can automatically generate a symmetry pattern for a given system in the form of a transducer. Furthermore, our symbolic language allows additional constraints that the symmetry patterns need to satisfy to be easily incorporated in the verification/synthesis. We show how these properties can help identify symmetry patterns in examples like dining philosopher protocols, self-stabilising protocols, and prioritised resource-allocator protocol. In some cases (e.g. Gries’s coffee can problem), our technique automatically synthesises a safety-preserving finite approximant, which can then be verified for safety solely using a finite-state model checker. |
format |
text |
author |
LIN, Anthony W. NGUYEN, Truong Khanh RÜMMER, Philipp SUN, Jun |
author_facet |
LIN, Anthony W. NGUYEN, Truong Khanh RÜMMER, Philipp SUN, Jun |
author_sort |
LIN, Anthony W. |
title |
Regular symmetry patterns |
title_short |
Regular symmetry patterns |
title_full |
Regular symmetry patterns |
title_fullStr |
Regular symmetry patterns |
title_full_unstemmed |
Regular symmetry patterns |
title_sort |
regular symmetry patterns |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2016 |
url |
https://ink.library.smu.edu.sg/sis_research/4972 https://ink.library.smu.edu.sg/context/sis_research/article/5975/viewcontent/regular.pdf |
_version_ |
1770575163038892032 |