Ensemble Learning for Method-Call Recommendation
Michael Kutschke
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Ensemble Learning for Method-Call Recommendation

Exploring features for a smart code completion

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One of the tool systems commonly used by developers is code completion - an assistant for developers to increase typing speed, explore new APIs, handle errors and just make life easier. Current research tries to improve on existing tools by exploiting implicit information and make it available to developers. This explores various context information that can be used to make code completion assistants better. We want to answer the question what context information is best suited for code completion, whether this is type-dependent, and how they can be combined in a joint model. In the first part...