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

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

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7641
https://ink.library.smu.edu.sg/context/sis_research/article/8644/viewcontent/795600a151.pdf

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