NDLI: Code template inference using language models

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Code template inference using language models

Content Provider	ACM Digital Library
Author	Jacob, Ferosh Tairas, Robert
Abstract	This paper investigates the use of a natural language processing technique that automatically detects project-specific code templates (i.e., frequently used code blocks), which can be made available to software developers within an integrated development environment. During software development, programmers often and in some cases unknowingly rewrite the same code block that represents some functionality. These frequently used code blocks can inform the existence and possible use of code templates. Many existing code editors support code templates, but programmers are expected to manually define these templates and subsequently add them as templates in the editor. Furthermore, the support of editors to provide templates based on the editing context is still limited. The use of n-gram language models within the context of software development is described and evaluated to overcome these restrictions. The technique can search for project-specific code templates and present these templates to the programmer based on the current editing context.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450300643
DOI	10.1145/1900008.1900143
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-04-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	N-gram language model Auto complete Source code Template
Content Type	Text
Resource Type	Article

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