Transforming Software Requirements into User Stories with GPT-3.5 -: An AI-Powered Approach

In today's dynamic software development landscape, Agile methodologies have established themselves as essential for organizations striving to swiftly adapt to evolving customer needs and market demands. A cornerstone of the Agile framework is the concept of User Stories, a concise format for expressing software requirements from an end-user perspective. The manual generation of User Stories from unstructured requirement texts proves to be a labor-intensive endeavor, riddled with challenges related to maintaining consistency and adhering to specific organizational practices. This research underscores the profound importance of Agile Methodology in contemporary software development and underscores the critical role that User Stories play within this framework. To address the inherent inefficiencies associated with manual User Story creation, this paper introduces a novel and innovative AI-powered approach that uses the advanced capabilities of the GPT-3.5 language model. This approach facilitates a seamless and efficient transformation of software requirement text into standardized User Stories by studying various prompting techniques. In this research paper the practical implementation of our approach have been illustrated, we have developed an application harnessing the natural language processing capabilities of GPT-3.5 where in the user can enter or upload the requirement text and it will be transformed into user stories.