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ASE 2013

Constraint-based automatic symmetry detection

Shao Jie Zhang, Jun Sun, Chengnian Sun, Yang Liu, Junwei Ma, Jin Song Dong

Full textDOI 10.1109/ase.2013.6693062dblp

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.

BibTeX
@inproceedings{Zhang-al:ASE13,
  author    = {Shao Jie Zhang and
               Jun Sun and
               Chengnian Sun and
               Yang Liu and
               Junwei Ma and
               Jin Song Dong},
  title     = {Constraint-based automatic symmetry detection},
  booktitle = {ASE},
  pages     = {15--25},
  publisher = {{IEEE}},
  year      = {2013},
}

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