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  • 标题:Approximate Testing Equivalence Based on Time, Probability, and Observed Behavior
  • 本地全文:下载
  • 作者:Alessandro Aldini
  • 期刊名称:Electronic Proceedings in Theoretical Computer Science
  • 电子版ISSN:2075-2180
  • 出版年度:2010
  • 卷号:28
  • 页码:1-15
  • DOI:10.4204/EPTCS.28.1
  • 出版社:Open Publishing Association
  • 摘要:Several application domains require formal but flexible approaches to the comparison problem. Different process models that cannot be related by behavioral equivalences should be compared via a quantitative notion of similarity, which is usually achieved through approximation of some equivalence. While in the literature the classical equivalence subject to approximation is bisimulation, in this paper we propose a novel approach based on testing equivalence. As a step towards flexibility and usability, we study different relaxations taking into account orthogonal aspects of the process observations: execution time, event probability, and observed behavior. In this unifying framework, both interpretation of the measures and decidability of the verification algorithms are discussed.
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