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Serenity Wade

dblp:329/5598 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Compilers and program optimization › program transformation
code style transfer
0.712023
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks · AAAI 2023
Compilers and program optimization
program transformation
0.712023
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks · AAAI 2023

Methods — techniques the papers use, named apart from their topics

sequence-to-sequence learning · 0.7neural network · 0.7
YearPublicationVenuePosition
2023 CodeStylist: A System for Performing Code Style Transfer Using Neural Networks
abstract
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.
Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas
AAAI3