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  • 标题:Computation of Summaries Using Net Unfoldings
  • 本地全文:下载
  • 作者:Javier Esparza ; Loig Jezequel ; Stefan Schwoon
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2013
  • 卷号:24
  • 页码:225-236
  • DOI:10.4230/LIPIcs.FSTTCS.2013.225
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We study the following summarization problem: given a parallel composition A=A_1||...||A_n of labelled transition systems communicating with the environment through a distinguished component A_i, efficiently compute a summary S_i such that E||A and E||S_i are trace-equivalent for every environment E. While Si can be computed using elementary automata theory, the resulting algorithm suffers from the state-explosion problem. We present a new, simple but subtle algorithm based on net unfoldings, a partial-order semantics, give some experimental results using an implementation on top of MOLE, and show that our algorithm can handle divergences and compute weighted summaries with minor modifications.
  • 关键词:Net unfoldings; Concurrent systems; Petri nets
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