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
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