Correlating automated and human evaluation of code documentation generation quality

• Main Authors: HU, Xing, CHEN, Qiuyuan, WANG, Haoye, XIA, Xin, LO, David, ZIMMERMANN, Thomas
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Code Documentation Generation; Evaluation Metrics; Empirical Study; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7664; https://ink.library.smu.edu.sg/context/sis_research/article/8667/viewcontent/tosem218.pdf
• Institution: Singapore Management University

Automatic code documentation generation has been a crucial task in the field of software engineering. It not only relieves developers from writing code documentation but also helps them to understand programs better. Specifically, deep-learning-based techniques that leverage large-scale source code...