Diagnosing Kernel Concurrency Failures with AITIA
Dae R. Jeong, Minkyu Jung, Yoochan Lee, Byoungyoung Lee, Insik Shin, Youngjin Kwon
2023Year
3Citations
6Top-tier citations
Abstract
Kernel concurrency failures are notoriously difficult to identify and diagnose their fundamental reason, the root cause. Kernel concurrency bugs frequently involve challenging patterns such as multi-variable races, data races with asynchronous kernel threads, and pervasive benign races. We perform an in-depth study of real-world kernel concurrency bugs and elicit three requirements: comprehensiveness, pattern-agnostic, and conciseness.
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Cited by top-tier papers6
- Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel FaultsZhenhao Zhou, Zhuochen Huang, Yike He, Chong Wang et al.ACL 2026 · 5 citations
- OZZ: Identifying Kernel Out-of-Order Concurrency Bugs with In-Vivo Memory Access ReorderingDae R. Jeong, Yewon Choi, Byoungyoung Lee, Insik Shin et al.SOSP 2024 · 4 citations
- Understanding the Linux Kernel, VisuallyHanzhi Liu, Yanyan Jiang, Chang XuEuroSys 2025 · 2 citations
- CARDSHARK: Understanding and Stablizing Linux Kernel Concurrency Bugs Against the OddsTianshuo Han, Xiaorui Gong, Jian LiuUSENIX Security 2024 · 2 citations
- SegFuzz: Segmentizing Thread Interleaving to Discover Kernel Concurrency Bugs through FuzzingDae R. Jeong, Byoungyoung Lee, Insik Shin, Youngjin KwonS&P 2023
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