Generation-based code review automation: How far are we?

• Main Authors: ZHOU, Xin, KIM, Kisub, XU, Bowen, HAN, DongGyun, HE, Junda, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Automatic codes; Code review; Engineering tasks; Labor time; Labour-intensive; Learning techniques; Research gaps; Review process; Software quality assurance; State of the art; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8567; https://ink.library.smu.edu.sg/context/sis_research/article/9570/viewcontent/generation_based.pdf
• Institution: Singapore Management University

Code review is an effective software quality assurance activity; however, it is labor-intensive and time-consuming. Thus, a number of generation-based automatic code review (ACR) approaches have been proposed recently, which leverage deep learning techniques to automate various activities in the cod...