MOOGLE: A Model Search Engine

  • Daniel Lucrédio
  • Renata P. de M. Fortes
  • Jon Whittle
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5301)

Abstract

Models are becoming increasingly important in the software 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.

Keywords

Model Search Software Reuse Model-Driven Development 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Daniel Lucrédio
    • 1
  • Renata P. de M. Fortes
    • 1
  • Jon Whittle
    • 2
  1. 1.Institute of Mathematical and Computer ScienceUSP. Av. Trabalhador São-CarlenseSão CarlosBrazil
  2. 2.Computing Department - InfoLab21Lancaster UniversityLancasterUK

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