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Use of structural clones to enable code completion by means of identification and
recommendation of suitable candidates from a large code repository
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The project aims to provide user the recommended code in a refined way.
That is instead of giving him the list of recommended code,
group the retrieved results with respect to their domains.
So the selection of appropriate code becomes easy for the user.
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A design patterns-based code recommender system, that uses content-based filtering and Latent Dirichlet Allocation(LDA) model.
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Efficient Analysis using search space partitioning
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Duplicate code management i.e. identification, reporting and visualization of structured clones
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Use of structural clones to enable code completion by means of identification and
recommendation of suitable candidates from a large code repository.
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