Code Generation Using Machine Learning: A Systematic Review

Code Generation Using Machine Learning: A Systematic Review

Recently, machine learning (ML) methods have been used to create powerful language models for a broad range of natural language processing tasks. An important subset of this field is that of generating code of programming languages for automatic software development. This review provides a broad and...

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Bibliographic Details
Main Authors: Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt, Wannes Meert
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Automatic programming
computer languages
data collection
machine learning
natural language processing
neural networks
Online Access:https://ieeexplore.ieee.org/document/9849664/

Internet

https://ieeexplore.ieee.org/document/9849664/

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