Transforming user story definition: From deterministic to AI-powered automation

Abstract

Agile software development necessitates the definition of user stories; however, the conventional manual process frequently leads to inefficiencies and inconsistencies. This paper investigates the shift from the deterministic user story creation to the AI-powered automation, addressing the limitations of the manual methods and the benefits of the AI integration. The study highlights the development of a deterministic JIRA extension for e-commerce applications. Despite its efficiency, the deterministic tool lacked adaptability across different domains. To overcome this, an AI-powered enhancement utilizing OpenAI's API was introduced, enabling scalable and accurate user story generation through natural language processing and machine learning. AI-driven tools automate user story creation, improving accuracy, reducing misinterpretation risks, and streamlining workflows. The research traces the evolution from a deterministic automation app using templates to an AI-driven app, emphasizing the role of prompt engineering in refining AI-generated outputs. The results demonstrate that AI integration not only enhances efficiency but also extends user story definition to diverse application domains, contributing to more scalable and adaptable software development practices.

Keywords

• ai-powered automation
• agile software development
• user story generation
• prompt engineering
• natural language processing