Is the ground truth really accurate? Dataset purification for automated program repair

• Main Authors: YANG, Deheng, LEI, Yan, MAO, Xiaoguang, LO, David, XIE, Huan, YAN, Meng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: bug dataset; automated program repair; dataset purification; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6878; https://ink.library.smu.edu.sg/context/sis_research/article/7881/viewcontent/963000a096.pdf
• Institution: Singapore Management University

Datasets of real-world bugs shipped with human-written patches are intensively used in the evaluation of existing automated program repair (APR) techniques, wherein the human-written patches always serve as the ground truth, for manual or automated assessment approaches, to evaluate the correctness...