DocumentCode :
1862438
Title :
Metamodel Recovery from Multi-tiered Domains Using Extended MARS
Author :
Liu, Qichao ; Bryant, Barrett R. ; Mernik, Marjan
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL, USA
fYear :
2010
fDate :
19-23 July 2010
Firstpage :
279
Lastpage :
288
Abstract :
With the rapid development of model-driven engineering (MDE), domain-specific modeling has become a widely used software development technique. In MDE, metamodels represent a schema definition of the syntax and static semantics to which an instance model conforms (i.e., a model conforms to its metamodel in a similar manner to how a program conforms to a grammar). However, in order to address new feature requests of the domain and language, the metamodel often undergoes frequent evolution that may result in the inability of users to load and view previous model instances. MARS is a metamodel recovery system to address the problems of metamodel evolution. This paper presents our extensions to MARS to infer models for multi-tiered domains. A new XSLT translator has been developed to generate a domain-specific language (DSL) called MRL (model representation language) for the XML representation of domain instances. The metamodel inference engine has been revised to translate the MRL back into a metamodel.
Keywords :
grammars; hypermedia markup languages; program interpreters; software engineering; MRL; XML representation; XSLT translator; domain specific modeling; extended MARS; metamodel recovery system; model driven engineering; model representation language; multitiered domains; schema definition; software development technique; static semantics; Computational modeling; DSL; Grammar; Load modeling; Mars; Object oriented modeling; XML; domain-specific modeling; grammar inference; metamodel; model-driven engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2010 IEEE 34th Annual
Conference_Location :
Seoul
ISSN :
0730-3157
Print_ISBN :
978-1-4244-7512-4
Electronic_ISBN :
0730-3157
Type :
conf
DOI :
10.1109/COMPSAC.2010.35
Filename :
5676270
Link To Document :
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