Although the context length limitation of large language models (LLMs) has been mitigated, it still hinders their application to software development tasks. This study proposes a method incorporating execution traces into RAG for inquiries about source code. Small-scale experiments confirm a tendency for the method to contribute to improving LLM response quality.

翻译：尽管大语言模型（LLMs）的上下文长度限制已得到缓解，但这仍阻碍了其在软件开发任务中的应用。本研究提出一种方法，将执行轨迹融入RAG中，用于对源代码进行查询。小规模实验证实，该方法有助于提升LLM回答质量的趋势。