Author

Yan Jia

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Preprint Aug 2026

KubeCap: A Framework for Capability Minimization in Kubernetes via Static Analysis and LLM-Assisted Rule Inference

KubeCap, a framework for Kubernetes capability minimization, is proposed and Evaluation on 10 representative Go-based Kubernetes projects shows an average capability reduction rate of 54.97%, outperforming rapid type analysis and class hierarchy analysis baselines while maintaining practical analysis cost.

Yuhao Liu, Yingnan Zhou, Weijie Liu et al. · 0 citations