AAAI Conference 2023 System Paper
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks
- Chih-Kai Ting
- Karl Munson
- Serenity Wade
- Anish Savla
- Kiran Kate
- Kavitha Srinivas
Code style refers to attributes of computer programs that affect their readability, maintainability, and performance. Enterprises consider code style as important and enforce style requirements during code commits. Tools that assist in coding style compliance and transformations are highly valuable. However, many key aspects of programming style transfer are difficult to automate, as it can be challenging to specify the patterns required to perform the transfer algorithmically. In this paper, we describe a system called CodeStylist which uses neural methods to perform style transfer on code.