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Zhen Yang

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Preprint Oct 2026

Executable but Unfaithful: Mock Object, Stub, and Assertion Generation by LLMs and Coding Agents

Mocking is a foundational practice in unit testing, enabling developers to isolate the code under test by replacing real dependencies with simulated alternatives. Automating the generation of mock objects, stubs, and mock assertions has been a long-standing research goal. However, capture-and-replay approaches rely on...

Hao Ning, Jia-Hui Dong, Zhen Yang et al. · 0 citations
Preprint Open access Aug 2026

CausalRepair: Bridging the Causality Gap in Large Language Model-Based Automated Program Repair via Dual-Slicing

CausalRepair is proposed, a conversation-driven APR framework based on minimal causal context, i.e., the essential dependencies required to explain a failure, outperforming state-of-the-art approaches such as ReinFix and TSAPR, while reducing the average repair cost to $0.029 per bug.

Lin-Hao Wu, Yi-Zhou Chen, Zhen Yang et al. · 0 citations

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