May 29, 2023, 1:10 a.m. | Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Phung, John Grundy

cs.CR updates on arXiv.org arxiv.org

Many ML-based approaches have been proposed to automatically detect,
localize, and repair software vulnerabilities. While ML-based methods are more
effective than program analysis-based vulnerability analysis tools, few have
been integrated into modern IDEs, hindering practical adoption. To bridge this
critical gap, we propose AIBugHunter, a novel ML-based software vulnerability
analysis tool for C/C++ languages that is integrated into Visual Studio Code.
AIBugHunter helps software developers to achieve real-time vulnerability
detection, explanation, and repairs during programming. In particular,
AIBugHunter scans through …

adoption analysis bridge critical detect gap novel program program analysis repair software software vulnerabilities tool tools vulnerabilities vulnerability vulnerability analysis

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