A multi-agent framework generates compilable, structurally complex Java tests from natural-language descriptions, beating Gemini CLI by 50–78% in compilability and 38–66% in coverage overlap.
Llamaresttest: Effective rest api testing with small language models
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MUTGEN incorporates mutation feedback into LLM prompts and uses iteration to generate unit tests that achieve higher mutation scores than EvoSuite or vanilla LLM prompting on 204 benchmark subjects.
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Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions
A multi-agent framework generates compilable, structurally complex Java tests from natural-language descriptions, beating Gemini CLI by 50–78% in compilability and 38–66% in coverage overlap.
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Mutation-Guided Unit Test Generation with a Large Language Model
MUTGEN incorporates mutation feedback into LLM prompts and uses iteration to generate unit tests that achieve higher mutation scores than EvoSuite or vanilla LLM prompting on 204 benchmark subjects.