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