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Compositional bisimulation metric reasoning with Probabilistic Process Calculi

LMCS vol.Volume 12, Issue 42017引用 35
Daniel Gebler, Kim G. Larsen, Simone Tini

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原文摘要(Abstract)

We study which standard operators of probabilistic process calculi allow for compositional reasoning with respect to bisimulation metric semantics. We argue that uniform continuity (generalizing the earlier proposed property of non-expansiveness) captures the essential nature of compositional reasoning and allows now also to reason compositionally about recursive processes. We characterize the distance between probabilistic processes composed by standard process algebra operators. Combining these results, we demonstrate how compositional reasoning about systems specified by continuous process algebra operators allows for metric assume-guarantee like performance validation.

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BibTeX
@article{GeblerLT16,
  title = {Compositional bisimulation metric reasoning with Probabilistic Process Calculi},
  author = {Daniel Gebler and Kim G. Larsen and Simone Tini},
  journal = {Logical Methods in Computer Science},
  volume = {Volume 12, Issue 4},
  year = {2017},
  doi = {10.2168/lmcs-12(4:12)2016}
}