AICodeReview: Advancing code quality with AI-enhanced reviews-Reference-Cited by-同舟云学术

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AICodeReview: Advancing code quality with AI-enhanced reviews

Published:2024-05 Issue: Volume:26 Page:101677
ISSN:2352-7110
Container-title:SoftwareX
language:en
Short-container-title:SoftwareX

Author:

Almeida Yonatha,Albuquerque Danyllo^ORCID,Filho Emanuel Dantas,Muniz Felipe,de Farias Santos Katyusco,Perkusich Mirko,Almeida Hyggo,Perkusich Angelo

Funder

Federal Institute of Education Science and Technology of Paraiba

Publisher

Elsevier BV

Reference22 articles.

1. A faceted classification scheme for change-based industrial code review processes;Baum,2016

2. Expectations, outcomes, and challenges of modern code review;Bacchelli,2013

3. Autotransform: Automated code transformation to support modern code review process;Thongtanunam,2022

4. An empirical study of the impact of modern code review practices on software quality;McIntosh;Empir Softw Eng,2016

5. IEEE standard for software reviews;The Institute of Electrical and Electronics Engineers,1998

Cited by 1 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. SimLLM: Calculating Semantic Similarity in Code Summaries using a Large Language Model-Based Approach;Proceedings of the ACM on Software Engineering;2024-07-12

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