Refactoring Programs Using Large Language Models with Few-Shot Examples-Reference-Cited by-同舟云学术

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Refactoring Programs Using Large Language Models with Few-Shot Examples

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:2023 30th Asia-Pacific Software Engineering Conference (APSEC)
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Author:

Shirafuji Atsushi¹,Oda Yusuke²,Suzuki Jun²,Morishita Makoto³,Watanobe Yutaka¹

Affiliation:

1. University of Aizu,Japan

2. Tohoku University,Japan

3. NTT Communication Science Laboratories,Japan

Funder

Japan Society for the Promotion of Science (JSPS) KAKENHI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10479191/10479357/10479398.pdf?arnumber=10479398

Reference48 articles.

1. Refactoring: Improving the Design of Existing Code

2. Evaluating large language models trained on code;Chen;arXiv preprint,2021

3. PaLM: Scaling language modeling with pathways;Chowdhery;arXiv preprint,2022

4. PanGu-Coder: Program synthesis with function-level language modeling;Christopoulou,2022

5. InCoder: A generative model for code infilling and synthesis;Fried,2023

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HECS: A Hypergraph Learning-Based System for Detecting Extract Class Refactoring Opportunities;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. One-to-One or One-to-Many? Suggesting Extract Class Refactoring Opportunities with Intra-class Dependency Hypergraph Neural Network;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

3. AI-Driven Refactoring: A Pipeline for Identifying and Correcting Data Clumps in Git Repositories;Electronics;2024-04-25

4. Iterative Refactoring of Real-World Open-Source Programs with Large Language Models;Lecture Notes in Computer Science;2024

5. Carbon Footprint Evaluation of Code Generation through LLM as a Service;Proceedings;2024

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