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Using Met-modeling Graph Grammars and R-Maude to Process and Simulate LRN Models
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International Journal of Software Engineering (IJSE)
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Volume:  3    Issue:  2
Pages:  NULL
Publication Date:   April 2012
ISSN (Online): 2180-1320
Pages 
40 - 51
Author(s)  
Nardjess Dehimi - Algeria
Allaoua Chaoui - Algeria
 
Published Date   
16-04-2012 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
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Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Modeling Mobility, Labeled Reconfigurable Nets, Graph Transformation 
 
 
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Nowadays, code mobility technology is one of the most attractive research domains. Numerous domains are concerned, many platforms are developed and interest applications are realized. However, the poorness of modeling languages to deal with code mobility at requirement phase has incited to suggest new formalisms. Among these, we find Labeled Reconfigurable Nets (LRN) [9], This new formalism allows explicit modeling of computational environments and processes mobility between them. it allows, in a simple and an intuitive approach, modeling mobile code paradigms (mobile agent, code on demand, remote evaluation). In this paper, we propose an approach based on the combined use of Meta-modeling and Graph Grammars to automatically generate a visual modeling tool for LRN for analysis and simulation purposes. In our approach, the UML Class diagram formalism is used to define a meta-model of LRN. The meta-modeling tool ATOM3 is used to generate a visual modeling tool according to the proposed LRN meta-model. We have also proposed a graph grammar to generate R-Maude [22] specification of the graphically specified LRN models. Then the reconfigurable rewriting logic language R-Maude is used to perform the simulation of the resulted R-Maude specification. Our approach is illustrated through examples.  
 
 
 
 
 
 
 
 
 
 
 
Nardjess Dehimi : Colleagues
Allaoua Chaoui : Colleagues  
 
 
 
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