AINeutralarXiv – CS AI · 5h ago6/10
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AI-Driven Test Case Generation from Natural Language Requirements: A Survey of Techniques and Research Gaps
A comprehensive survey of AI and NLP techniques for automating test case generation from natural language requirements identifies 21 primary studies across three evolutionary eras. The research reveals that no existing approach fully addresses six critical quality dimensions—automation, ambiguity handling, domain applicability, traceability, evaluation thoroughness, and hallucination control—highlighting significant gaps in current software testing automation.