Exploring the potential of chatgpt in automated code refinement: An empirical study

• Main Authors: QI, Guo, CAO, Junming, XIE, Xiaofei, LIU, Shangqing, LI, Xiaohong, CHEN, Bihuan, PENG, Xin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Automated code; Code review; Cutting edges; Development process; Empirical studi; s; Error prone tasks; High quality; Language model; Review process; Software project; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9175; https://ink.library.smu.edu.sg/context/sis_research/article/10180/viewcontent/2309.08221v1.pdf
• Institution: Singapore Management University

Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone task that can significantly impact the development process. Recently, ChatGPT, a cutting-edge language model, has demonstrated impressive perf...