Title
Constraint-based automatic symmetry detection.
Abstract
We present an automatic approach to detecting symmetry relations for general concurrent models. Despite the success of symmetry reduction in mitigating state explosion problem, one essential step towards its soundness and effectiveness, i.e., how to discover sufficient symmetries with least human efforts, is often either overlooked or oversimplified. In this work, we show how a concurrent model can be viewed as a constraint satisfaction problem (CSP), and present an algorithm capable of detecting symmetries arising from the CSP which induce automorphisms of the model. To the best of our knowledge, our method is the first approach that can automatically detect both process and data symmetries as demonstrated via a number of systems.
Year
DOI
Venue
2013
10.1109/ASE.2013.6693062
ASE
Keywords
Field
DocType
constraint satisfaction problems
Constraint satisfaction,Local consistency,Computer science,Constraint graph,Theoretical computer science,Constraint satisfaction problem,Concurrent constraint logic programming,Constraint satisfaction dual problem,Backtracking,Constraint logic programming
Conference
ISSN
ISBN
Citations 
1527-1366
978-1-4799-0215-6
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Shao Jie Zhang1564.71
Jun Sun21407120.35
Chengnian Sun374922.97
Yang Liu42194188.81
Junwei Ma511.04
Jin Song Dong61209.88