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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

MOOGLE: a metamodel-based model search engine

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Author(s):
Lucredio, Daniel [1] ; Fortes, Renata P. de M. [2] ; Whittle, Jon [3]
Total Authors: 3
Affiliation:
[1] Univ Fed Sao Carlos, Dept Comp, BR-13565905 Sao Carlos, SP - Brazil
[2] Univ Sao Paulo, Inst Math & Comp Sci, BR-13560970 Sao Carlos, SP - Brazil
[3] Univ Lancaster, InfoLab21, Dept Comp, Lancaster LA1 4WA - England
Total Affiliations: 3
Document type: Journal article
Source: Software and Systems Modeling; v. 11, n. 2, p. 183-208, MAY 2012.
Web of Science Citations: 8
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. (AU)

FAPESP's process: 08/11476-8 - Strategies for automatic code migration in the context of model-driven development
Grantee:Daniel Lucrédio
Support type: Scholarships in Brazil - Post-Doctorate