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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| Main Authors: | , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2022
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| Subjects: | |
| 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 |