• DocumentCode
    2840543
  • Title

    Warshall Based Detection of Conflicts and Dependencies in Graph Transformation System

  • Author

    Chen Junbing ; Wang Zhijian ; Qian Si ; Chen Bo

  • Author_Institution
    Comput. & Inf. Eng. Coll., Hohai Univ., Nanjing, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The main idea of graph grammars and graph transformation is the rule-based graph rewriting, where the application of every rule graph rule leads to a graph transformation step. Graph grammars can be used to generate graph languages which is similar to Chomsky grammars in formal language theory. Moreover, graphs can be used to model the states of all kinds of systems, which allows one to use graph transformation to model state changes in these systems. A rule-based transformation system may show two kinds of nondeterminism: (1) for each rule can exist several matches, and (2) several rules can be applicable. This paper concentrates on the second non-determinism, studying a method to detect the rules which are not applicable in graph transformation systems, proposing a backward graph transformation conflict detecting algorithm. At first the computation of conflict and dependency of two rules is available by use of AGG . Secondly the set of dependencies has to be tested by Warshall algorithm and the set of conflicts has to be computed by backward algorithm. At last, the termination of graph transformation systems and validity of rules can be detected as well.
  • Keywords
    formal languages; graph grammars; knowledge based systems; Chomsky grammars; Warshall-based conflict detection; backward graph transformation conflict detecting algorithm; formal language theory; graph grammars; graph languages; graph transformation system; rule-based graph rewriting; rule-based transformation system; Application software; Educational institutions; Formal languages; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5364740
  • Filename
    5364740