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An Empirical Study of Gemini 3 for Detecting Natural Language Test Smells in Manual Test Cases
Manual testing, in which testers follow natural language instructions to validate system behavior, remains essential for uncovering issues that are difficult to capture with automation. However, manual test cases often contain test smells, quality issues such as ambiguity, redundancy, or missing che
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