The future can't help fix the past: Assessing program repair in the wild

• Main Authors: KABADI, Vinay, KONG, Dezhen, XIE, Siyu, BAO, Lingfeng, PRANA, Gede Artha Azriadi, LE, Tien Duy B., LE, Xuan Bach D., David LO
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Benchmark; Program Repair; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8610; https://ink.library.smu.edu.sg/context/sis_research/article/9613/viewcontent/Future_Fix_Program_Wild_ICSME23_av.pdf
• Institution: Singapore Management University

Automated program repair (APR) has been gaining ground with substantial effort devoted to the area, opening up many challenges and opportunities. One such challenge is that the state-of-the-art repair techniques often resort to incomplete specifications, e.g., test cases that witness buggy behavior,...