NLP2Code: Code Snippet Content Assist via Natural Language Tasks
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Jan 2017.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 2.
4 papers.
- 2023CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Searchcited by 4
- 2021deGraphCS: Embedding Variable-based Flow Graph for Neural Code Searchcited by 3
- 2021Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Networkcited by 1
- 2023Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippetscited by 1
- 2023CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search19 May 2023
- 2023Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets19 May 2023
- 2021Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network2 Apr 2021
- 2021deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search24 Mar 2021