Supplemental Material of the Meta-Few-Shot Prompt Approach

Supplemental MaterialThis collection of resources provides additional content related to the research on generating user stories using the Meta-Few-Shot Prompt approach. It includes a detailed guide on prompts, an example scenario, and an analysis of the generated user stories based on the Quality User Story (QUS) criteria. The material aims to support researchers, practitioners, and educators in understanding the context, methodology, and evaluation process behind the user stories developed during the research.Meta-Few-Shot Prompt for Generating User Stories - This resource presents a comprehensive guide on generating user stories using Meta-Few-Shot Prompting, an advanced technique leveraging Large Language Models (LLMs). It includes detailed prompts, templates, and criteria for creating high-quality user stories that adhere to Quality User Story (QUS) framework. Designed for use in Automated Software Engineering and Requirements Engineering, this guide is ideal for researchers, practitioners, and educators seeking to streamline the user story creation process.Complete Scenario: Travel Agency - This resource provides a complete scenario that focuses on a travel agency offering tickets, reservations, and tours, with the aim of implementing a management system to optimize operations and enhance customer service. This scenario served as the foundation for the user stories, ensuring a consistent product vision and clear context for the development process.Analysis of User Stories: QUS Criteria Evaluation - This resource presents an analysis of user stories, focusing on the evaluation of the Quality User Story (QUS) criteria. The evaluation involved verifying the stories based on seven key criteria, including well-formed, atomicity, and estimability. The aim was to assess the quality of the generated stories, calculate the error rate, and ensure that all stories adhered to the established standards.

补充材料
本资源集合为采用元少样本提示（Meta-Few-Shot Prompt）方法生成用户故事的相关研究提供配套附加内容。其中包含了详细的提示词指南、示例场景，以及基于高质量用户故事（Quality User Story）标准对生成的用户故事开展的分析工作。本材料旨在助力研究人员、从业者与教育工作者理解该研究中用户故事开发背后的背景、方法论与评估流程。

元少样本提示用于生成用户故事——本资源详细阐述了如何利用元少样本提示技术生成用户故事，这是一种依托大语言模型（Large Language Model）的先进技术。其中包含了创作符合高质量用户故事（QUS）框架的高水准用户故事所需的详细提示词、模板与评判标准。本指南面向自动化软件工程与需求工程领域，适用于希望简化用户故事创作流程的研究人员、从业者与教育工作者。

完整场景：旅行社——本资源提供了一则聚焦旅行社的完整场景，该旅行社提供票务、预订与旅游服务，旨在通过搭建管理系统优化运营流程、提升客户服务体验。该场景作为用户故事的创作基础，确保了开发过程中具备统一的产品愿景与清晰的上下文背景。

用户故事分析：QUS标准评估——本资源呈现了针对用户故事的分析内容，聚焦于高质量用户故事（QUS）标准的评估工作。本次评估依据七大核心准则对故事进行核验，涵盖格式合规性、原子性与可估算性等维度。本次评估旨在评判生成的用户故事的质量、计算错误率，并确保所有故事均符合既定标准。