AutoPruner: transformer-based call graph pruning

AutoPruner: transformer-based call graph pruning

Constructing a static call graph requires trade-offs between soundness and precision. Program analysis techniques for constructing call graphs are unfortunately usually imprecise. To address this problem, researchers have recently proposed call graph pruning empowered by machine learning to post-pro...

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Bibliographic Details
Main Authors: LE, Cong Thanh, KANG, Hong Jin, NGUYEN, Truong Giang, AGUS HARYONO, Stefanus, LO, David, LE, Xuan-Bach D., THANG, Huynh Quyet
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Call graph pruning
Static analysis
Pretrained language model
Transformer
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/7740
https://ink.library.smu.edu.sg/context/sis_research/article/8743/viewcontent/2209.03230.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7740
https://ink.library.smu.edu.sg/context/sis_research/article/8743/viewcontent/2209.03230.pdf

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