RESTestBench shows that LLM-generated REST API test effectiveness drops when interacting with faulty or mutated code, especially for vague requirements, indicating that high-detail requirements make direct SUT interaction unnecessary.
Large language models for software testing: a research roadmap
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A systematic survey of 93 studies that maps the bidirectional relationship between metamorphic testing and LLMs, proposing a taxonomy for MT applied to LLMs and LLMs applied to MT.
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RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements
RESTestBench shows that LLM-generated REST API test effectiveness drops when interacting with faulty or mutated code, especially for vague requirements, indicating that high-detail requirements make direct SUT interaction unnecessary.
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Bidirectional Empowerment of Metamorphic Testing and Large Language Models: A Systematic Survey
A systematic survey of 93 studies that maps the bidirectional relationship between metamorphic testing and LLMs, proposing a taxonomy for MT applied to LLMs and LLMs applied to MT.