dc.creatorLucredio, Daniel
dc.creatorFortes, Renata Pontin de Mattos
dc.creatorWhittle, Jon
dc.date.accessioned2013-11-06T18:34:40Z
dc.date.accessioned2018-07-04T16:19:34Z
dc.date.available2013-11-06T18:34:40Z
dc.date.available2018-07-04T16:19:34Z
dc.date.created2013-11-06T18:34:40Z
dc.date.issued2012
dc.identifierSOFTWARE AND SYSTEMS MODELING, HEIDELBERG, v. 11, n. 2, pp. 183-208, MAY, 2012
dc.identifier1619-1366
dc.identifierhttp://www.producao.usp.br/handle/BDPI/42484
dc.identifier10.1007/s10270-010-0167-7
dc.identifierhttp://dx.doi.org/10.1007/s10270-010-0167-7
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1634411
dc.description.abstractModels are becoming increasingly important in the software development process. As a consequence, the number of models being used is increasing, and so is the need for efficient mechanisms to search them. Various existing search engines could be used for this purpose, but they lack features to properly search models, mainly because they are strongly focused on text-based search. This paper presents Moogle, a model search engine that uses metamodeling information to create richer search indexes and to allow more complex queries to be performed. The paper also presents the results of an evaluation of Moogle, which showed that the metamodel information improves the accuracy of the search.
dc.languageeng
dc.publisherSPRINGER HEIDELBERG
dc.publisherHEIDELBERG
dc.relationSOFTWARE AND SYSTEMS MODELING
dc.rightsCopyright SPRINGER HEIDELBERG
dc.rightsrestrictedAccess
dc.subjectMODEL-DRIVEN DEVELOPMENT
dc.subjectMODEL SEARCH
dc.subjectMODEL REUSE
dc.titleMOOGLE: a metamodel-based model search engine
dc.typeArtículos de revistas


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