TY - JOUR

T1 - MOOGLE: a metamodel-based model search engine

AU - Lucredio, Daniel

AU - Fortes, Renata P. de M.

AU - Whittle, Jon

PY - 2012/5

Y1 - 2012/5

N2 - 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.

AB - 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.

KW - Model-driven development

KW - Model search

KW - Model reuse

U2 - 10.1007/s10270-010-0167-7

DO - 10.1007/s10270-010-0167-7

M3 - Journal article

VL - 11

SP - 183

EP - 208

JO - Software and Systems Modeling

JF - Software and Systems Modeling

SN - 1619-1366

IS - 2

ER -