DocumentCode :
1607872
Title :
Graph grammar approach for transforming DATA
Author :
Hachichi, H. ; Kitouni, Ilham ; Saidouni, D.
Author_Institution :
Comput. Sci. Dept., Univ. of Mentouri, Constantine, Algeria
fYear :
2012
Firstpage :
7
Lastpage :
12
Abstract :
In this paper we propose an approach for translating DATA* structure to aggregate regions automaton using graph transformation. However, our approach allows to generate automatically a visual modeling tool for DATA* and the aggregate regions automaton. The cost of building a visual modeling tool from scratch is prohibitive. Meta-modeling approach is useful to deal with this problem since it allows the modeling of the formalisms themselves, by means of graph grammars. The meta-modeling tool AToM3 is used.
Keywords :
automata theory; graph grammars; AToM3 tool; DATA transformation; DATA* structure translation; aggregate region automaton; durational action timed automata; graph grammar approach; graph transformation; metamodeling approach; visual modeling tool; Aggregates; Automata; Clocks; Cost accounting; Data models; Grammar; Visualization; AToM3; DATA∗; Formal models; Graph Grammars; Graph transformation; aggregate regions automata; regions automata;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1657-6
Type :
conf
DOI :
10.1109/SETIT.2012.6481881
Filename :
6481881
Link To Document :
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