NLP2Code: Code Snippet Content Assist via Natural Language Tasks

被引：43

作者：

Campbell, Brock Angus ^{[1
]}

Treude, Christoph ^{[1
]}

机构：

[1] Univ Adelaide, Sch Comp Sci, Adelaide, SA, Australia

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME) | 2017年

关键词：

D O I：

10.1109/ICSME.2017.56

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Developers increasingly take to the Internet for code snippets to integrate into their programs. To save developers the time required to switch from their development environments to a web browser in the quest for a suitable code snippet, we introduce NLP2Code, a content assist for code snippets. Unlike related tools, NLP2Code integrates directly into the source code editor and provides developers with a content assist feature to close the vocabulary gap between developers' needs and code snippet meta data. Our preliminary evaluation of NLP2Code shows that the majority of invocations lead to code snippets rated as helpful by users and that the tool is able to support a wide range of tasks.

引用

页码：628 / 632

页数：5

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