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MOOGLE: a metamodel-based model search engine

Lucredio, Daniel and Fortes, Renata P. de M. and Whittle, Jon (2012) MOOGLE: a metamodel-based model search engine. Software and Systems Modeling, 11 (2). pp. 183-208. ISSN 1619-1366

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Models 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.

Item Type: Journal Article
Journal or Publication Title: Software and Systems Modeling
Uncontrolled Keywords: Model-driven development ; Model search ; Model reuse
Subjects: ?? qa75 ??
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 54842
Deposited By: ep_importer_pure
Deposited On: 31 May 2012 11:30
Refereed?: Yes
Published?: Published
Last Modified: 18 Sep 2018 03:34
Identification Number:

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