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    李大奎

    • 教授级高工       硕士生导师
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:硕士
    • 所在单位:软件学院、国际信息与软件学院
    • 电子邮箱:ldk@dlut.edu.cn

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    Unified Mathematical Framework for Slicing and Symmetry Reduction over Event Structures

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    论文类型:期刊论文

    发表时间:2014-01-01

    发表刊物:JOURNAL OF APPLIED MATHEMATICS

    收录刊物:SCIE

    ISSN号:1110-757X

    摘要:Nonclassical slicing and symmetry reduction can act as efficient structural abstract methods for pruning state space when dealing with verification problems. In this paper, we mainly address theoretical and algorithmic aspects for nonclassical slicing and symmetry reduction over prime event structures. We propose sliced and symmetric quotient reduction models of event structures and present their corresponding algorithms. To construct the underlying foundation of the proposed methodologies, we introduce strong and weak conflict concepts and a pair of mutually inverse operators and extend permutation group based symmetry notion of event structures. We have established a unified mathematical framework for slicing and symmetry reduction, and further investigated the translation, isomorphism, and equivalence relationship and other related basic facts from a theoretical point of view. The framework may provide useful guidance and theoretical exploration for overcoming verification challenges. This paper also demonstrates their practical applications by two cases.