LoRA fine-tuning enables open-source LLMs such as Ministral-8B to generate requirement-based test cases at a level comparable to pre-tuned proprietary GPT-4.1 models.
Requirements may involve templates, configuration fields, user permissions, workflows, or API interactions
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An empirical study of LoRA-based fine-tuning of large language models for automated test case generation
LoRA fine-tuning enables open-source LLMs such as Ministral-8B to generate requirement-based test cases at a level comparable to pre-tuned proprietary GPT-4.1 models.