Prioritizing Software Requirements Using Large Language Models

TL;DR

This paper presents a web-based AI-powered tool leveraging Large Language Models to automate and improve the prioritization of software requirements, enhancing project management in agile development.

Contribution

It introduces a novel AI-driven approach with a prototype tool for requirement prioritization using LLMs and prompt engineering, addressing stakeholder and time constraints.

Findings

Automated requirement prioritization improves efficiency.

Prototype tool available on GitHub for experimentation.

Enhances stakeholder satisfaction within project constraints.

Abstract

Large Language Models (LLMs) are revolutionizing Software Engineering (SE) by introducing innovative methods for tasks such as collecting requirements, designing software, generating code, and creating test cases, among others. This article focuses on requirements engineering, typically seen as the initial phase of software development that involves multiple system stakeholders. Despite its key role, the challenge of identifying requirements and satisfying all stakeholders within time and budget constraints remains significant. To address the challenges in requirements engineering, this study introduces a web-based software tool utilizing AI agents and prompt engineering to automate task prioritization and apply diverse prioritization techniques, aimed at enhancing project management within the agile framework. This approach seeks to transform the prioritization of agile requirements, tackling the substantial challenge of meeting stakeholder needs within set time and budget limits. Furthermore, the source code of our developed prototype is available on GitHub, allowing for further experimentation and prioritization of requirements, facilitating research and practical application.