Supplemental Material of the Meta-Few-Shot Prompt Approach

<b>Supplemental Material</b>This 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.<br><br><b>Meta-Few-Shot Prompt for Generating User Stories</b> - 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.<br><br><b>Complete Scenario: Travel Agency</b> - 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.<br><br><b>Analysis of User Stories: QUS Criteria Evaluation </b>- 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.