Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources-Reference-Cited by-同舟云学术

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Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources

Published:2024-04-12 Issue: Volume:30 Page:1-13
ISSN:
Container-title:Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
language:
Short-container-title:

Author:

Zhou Xin¹^ORCID,Kim Kisub¹^ORCID,Xu Bowen²^ORCID,Han Donggyun³^ORCID,Lo David⁴^ORCID

Affiliation:

1. Singapore Management University, Singapore, Singapore

2. North Carolina State University, Raleigh, North Carolina, USA

3. Royal Holloway, University of London, Surrery, United Kingdom

4. School of Computing and Information Systems, Singapore Management University, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597503.3639222

Reference88 articles.

1. 2016. The example commit details. https://github.com/TinkerBoard2-Android/external-ImageMagick/commit/dd84447b63a71fa8c3f47071b09454efc667767b.

2. 2023. Replication Package of VulMaster. https://github.com/soarsmu/VulMaster_.

3. Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

4. The adverse effects of code duplication in machine learning models of code

5. CVEfixes: automated collection of vulnerabilities and their fixes from open-source software

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving VulRepair’s Perfect Prediction by Leveraging the LION Optimizer;Applied Sciences;2024-07-01

2. Requirements Engineering for Trustworthy Human-AI Synergy in Software Engineering 2.0;2024 IEEE 32nd International Requirements Engineering Conference (RE);2024-06-24

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