Empirical study on synthesis engines for semantics-based program repair

• Main Authors: BACH, Le Dinh Xuan, LO, David, GOUES, Claire Le
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Empirical Study; Automated Program Repair; Program Synthesis Engines; computer bugs; benchmark testing; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3749; https://ink.library.smu.edu.sg/context/sis_research/article/4751/viewcontent/3806a423.pdf
• Institution: Singapore Management University

Automatic Program Repair (APR) is an emerging and rapidly growing research area, with many techniques proposed to repair defective software. One notable state-of-the-art line of APR approaches is known as semantics-based techniques, e.g., Angelix, which extract semantics constraints, i.e., specifica...