When Iterative Prompting Fails: An Empirical Study of Unit Test Generation with Open-Source LLMs
Large language models (LLMs) have shown promise in automated unit test generation, yet the effectiveness of prompt engineering for small, locally-deployed open-source models remains poorly understood. Following growing interest in local LLM deployment to mitigate data exposure risks, this paper presents a controlled em...