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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Abstract

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:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
ID Code:
54842
Deposited By:
Deposited On:
31 May 2012 10:30
Refereed?:
Yes
Published?:
Published
Last Modified:
24 Jun 2020 01:46