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Xiaogang Dong

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Preprint Aug 2026

Generics-Aware Fuzz Target Generation for Rust Libraries via Structured API Analysis

Fuzzing Rust library APIs requires constructing well-typed, compilable call sequences that satisfy ownership rules, generic parameters, and trait bounds; existing tools ignore these constraints or use shallow heuristics, yielding low coverage. We present GRAFT, which extracts structured API information from Rust documentation, builds an API dependency graph via recursive generics-aware type matching, and uses topology-guided traversal plus LLM synthesis with compiler-error feedback to produce compilable fuzz targets. On 13 crates from crates.io, GRAFT achieves 80.75% macro-average API coverage at 96.19% compilation success, outperforming RULF and RPG by 4.76x and 2.43x, and reaching 1.41x the average API coverage of deepSURF on crates with unsafe-reaching APIs.

Yiming Chen, Kaiwen Zhang, Guanjun Liu et al. · 0 citations
Book Open access Jul 2026

Eagle: Leveraging Operations Documents for Comprehensive Benchmark Question Generation

Eagle, a comprehensive benchmarking framework tailored for evaluating OpsLLMs, delivers a deployable foundation for advancing large-model applications in AIOps and open-source the framework and dataset to foster community adoption and reproducibility.

Yuhe Liu, Changhua Pei, Hang Wang et al. · 0 citations