Artificial Intelligence #ai#test-case-generation
AI-Driven Test Case Generation from Natural Language: Survey Reveals Six Quality Gaps and Research Roadmap
A systematic review of 21 primary studies on AI-driven test case generation from natural language requirements reveals that no existing approach simultaneously satisfies six key quality dimensions: automation, ambiguity handling, domain applicability, traceability, evaluation thoroughness, and hallucination control. The survey synthesizes three evolutionary eras and proposes four actionable research guidelines targeting hallucination, traceability, complexity sensitivity, and compliance.
Jun 16, 2026 1 source