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NEUROTESTGEN: Neuro-Symbolic Guided Test Generation with Large Language Models

Zhang, Ruixin et al.
arXiv (All) · Papers
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software-engineering
Ensuring high structural coverage remains a fundamental challenge in automated test generation, particularly for complex software systems where reaching specific lines or branches requires satisfying intricate control- and data-flow constraints. Large Language Models (LLMs) have recently demonstrate
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