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RITA: A Tool for automated requirements classification and specification from online user feedback
Date
2026-01-16
Abstract
Online user feedback is a valuable resource for requirements engineering, but its volume and noise make analysis difficult. Existing tools support individual feedback analysis tasks, but their capabilities are rarely integrated into end-to-end support. Problem. The lack of end-to-end integration limits the practical adoption of existing RE tools and makes it difficult to assess their real-world usefulness. Solution. To address this challenge, we present RITA, a tool that integrates lightweight open-source large language models into a unified workflow for feedback-driven RE. RITA supports automated request classification, non-functional requirement identification, and natural-language requirements specification generation from online feedback
via a user-friendly interface, and integrates with Jira for seamless transfer of requirements specifications to development tools. Results and conclusions. RITA exploits previously evaluated LLM-based RE techniques to efficiently transform raw user feedback into requirements artefacts, helping bridge the gap between research and practice. A demonstration is available at: https://youtu.be/8meCLpwQWV8
Supervisor
Description
Publisher
Citation
32nd International Working Conference on Requirement Engineering: Foundation for Software Quality (REFSQ 2026)
Files
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Mallya_2026_RITA.pdf
Adobe PDF, 1.17 MB
ULRR Identifiers
Funding code
Funding Information
Sustainable Development Goals
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License
Attribution-NonCommercial-ShareAlike 4.0 International