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.
Original language | English |
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Title of host publication | Model Driven Engineering Languages and Systems - 11th International Conference, MoDELS 2008, Proceedings |
Pages | 296-310 |
Number of pages | 15 |
DOIs | |
Publication status | Published - 28 Nov 2008 |
Externally published | Yes |
Event | ACM/IEEE International Conference on Model Driven Engineering Languages and Systems 2008 - Toulouse, France Duration: 28 Sept 2008 → 3 Oct 2008 Conference number: 11th |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 5301 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | ACM/IEEE International Conference on Model Driven Engineering Languages and Systems 2008 |
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Abbreviated title | MoDELS 2008 |
Country/Territory | France |
City | Toulouse |
Period | 28/09/08 → 3/10/08 |
Keywords
- Model search
- Model-driven development
- Software reuse