Reinforcement Learning for Software Vulnerability Analysis: A Systematic Review with Emphasis on C/C++ Source Code and Static Analysis
arXiv 2606.28403•273ae10020ff2a83e816f17cde74b1d8c5d4bdf1d12b5d22114ab307ddb1d244
C/C++Dockerlessabstract-syntax-treeagentic-engineeringbenchmarkscode-LLMcode-verificationcontrol-flow-graphfuzzingrecursive-self-trainingreinforcement-learningsoftware-supply-chain-riskstatic-analysisvulnerability-detection
Paper metadata
- arXiv ID
- 2606.28403
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 273ae10020ff2a83e816f17cde74b1d8c5d4bdf1d12b5d22114ab307ddb1d244
- Enrichment time
- 2026-06-30T08:51:49Z
- AI-assisted enrichment
- Yes
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