Generating LLM tests after faulty LLM code cuts fault detection to about 14% versus about 25% when tests are generated from the task description alone, across models and prompting strategies.
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On the risk of coding before testing: An empirical study on LLM-based test generation workflow
Generating LLM tests after faulty LLM code cuts fault detection to about 14% versus about 25% when tests are generated from the task description alone, across models and prompting strategies.