Out of sight, out of mind: Better automatic vulnerability repair by broadening input ranges and sources
The advances of deep learning (DL) have paved the way for automatic software vulnerability repair approaches, which effectively learn the mapping from the vulnerable code to the fixed code. Nevertheless, existing DL-based vulnerability repair methods face notable limitations: 1) they struggle to han...
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| Main Authors: | , , , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2024
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| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/9248 https://ink.library.smu.edu.sg/context/sis_research/article/10248/viewcontent/3597503.3639222.pdf |
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