FFL: fine grained fault localization for student programs via syntactic and semantic reasoning

• Main Authors: NGUYEN, Thanh Dat, LE, Cong Thanh, LUONG, Duc-Minh, DUONG, Van-Hai, LE, Xuan Bach, LO, David, HUYNH, Quyet-Thang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Fault localization; Programming education; Graph neural network; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7641; https://ink.library.smu.edu.sg/context/sis_research/article/8644/viewcontent/795600a151.pdf
• Institution: Singapore Management University

Fault localization has been used to provide feedback for incorrect student programs since locations of faults can be a valuable hint for students about what caused their programs to crash. Unfortunately, existing fault localization techniques for student programs are limited because they usually con...