Author

Yun Lin

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#artificial intelligence Preprint Oct 2026

Benchmarking LLM Agents for Behaviorally Adequate Test Generation from Software Requirements

As large language model agents increasingly compile natural-language requirements into repository-level code, requirement-to-test generation grows in importance to provide validation constraints (or harness) to guide code generation. Yet it remains unclear whether current agents can generate tests that validate the req...

Bin-Hang Qi, Yi-Ming Liu, Yun Lin et al. · 0 citations

Jul 2026

IssueExec: A Test-Driven Approach for Localizing Software Engineering Issues

The proposed IssueExec bridges the semantic gap through domain-knowledge-enhanced test representations and filters noise via hierarchical trace analysis, which bridges the semantic gap through domain-knowledge-enhanced test representations and filters noise via hierarchical trace analysis.

Jiawei Liu, Yun Lin, Chenyan Liu et al. · arXiv.org · 0 citations