Two sides of the same coin: Exploiting the impact of identifiers in neural code comprehension

Two sides of the same coin: Exploiting the impact of identifiers in neural code comprehension

Previous studies have demonstrated that neural code comprehension models are vulnerable to identifier naming. By renaming as few as one identifier in the source code, the models would output completely irrelevant results, indicating that identifiers can be misleading for model prediction. However, i...

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Bibliographic Details
Main Authors: GAO, Shuzheng, GAO, Cuiyun, WANG, Chaozheng, SUN, Jun, LO, David, YU, Yue
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Code comprehension
Comprehension models
Counterfactuals
F1 scores
Misleading informations
Model prediction
Multitask learning
Neural code
Program semantics
Source codes
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/9270
https://ink.library.smu.edu.sg/context/sis_research/article/10270/viewcontent/TwoSidesCoin_2023_av.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9270
https://ink.library.smu.edu.sg/context/sis_research/article/10270/viewcontent/TwoSidesCoin_2023_av.pdf

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