Planning for an upcoming project iteration (sprint) is one of the key activities in Scrum planning. In this paper, we present our work in progress on exploring the applicability of Large Language Models (LLMs) for solving this problem. We conducted case studies with manually created data sets to investigate the applicability of OpenAI models for supporting the sprint planning activities. In our experiments, we applied three models provided OpenAI: GPT-3.5 Turbo, GPT-4.0 Turbo, and Val. The experiments demonstrated that the results produced by the models aren't of acceptable quality for direct use in Scrum projects.

翻译：项目迭代（冲刺）规划是Scrum规划中的关键活动之一。本文介绍了我们探索大型语言模型（LLM）解决该问题适用性的研究进展。我们通过人工创建的数据集进行案例研究，以探究OpenAI模型在支持冲刺规划活动中的适用性。实验中，我们应用了OpenAI提供的三种模型：GPT-3.5 Turbo、GPT-4.0 Turbo和Val。实验结果表明，这些模型生成的成果质量尚未达到可直接用于Scrum项目的可接受标准。