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Digital product

Requirements Engineering Chatbot

2025 technological product proposing a chatbot as a support tool for Requirements Engineering, with computer program registration granted by INPI in 2026.

Launch: 31 Dec 2025
Product language: Portuguese
Product illustration: Requirements Engineering Chatbot

Product Description

The Requirements Engineering Chatbot is a technological product recorded in 2025 in the Lattes CV of Prof. George Marsicano Corrêa . The proposal investigates how chatbots based on natural language models (LLMs) can support Requirements Engineering, focusing on the automated generation of user stories and the organization of information provided by stakeholders.

INPI Registration

In 2026, the software received a computer program registration certificate granted by the Brazilian National Institute of Industrial Property (INPI) under process BR512026003514-7. The registration secures legal protection for 50 years, as established by Law No. 9.609/1998, and reinforces the institutional recognition of the technological output associated with the Super-R project . More details are available in the news item about the registration .

Main Function and Purpose

The program is an intelligent chatbot that conducts natural language interviews to elicit, clarify, and structure requirements, automatically generating user stories and allowing validation and correction during the conversation, with export to spreadsheet (.xlsx). It is intended to support Requirements Engineering activities in software projects, particularly during the elicitation and formalization of stakeholder needs, aligned with agile practices.

Application Context and Differentiators

Applicable to public and private organizations that need to gather requirements from multiple parties, the product addresses recurring problems of communication failure, ambiguity, incompleteness, and low standardization in requirements documentation, reducing manual effort and rework. It differs from tools based on traditional NLP by using language models (LLMs) to adapt questions to context, detect ambiguities, and generate user stories automatically, with user feedback and immediate export.

Future Directions

Planned evolution includes voice input and output, database persistence, integration with project management tools (Jira, Trello, GitHub Projects), expansion of export formats, and improvements to the quality and validation mechanisms of the generated requirements.

Academic Linkage

  • Fause Carlos Mascarenhas Lustosa Junior (product development)
  • Pedro Henrique Muniz de Oliveira (product development)
  • Prof. George Marsicano Corrêa (academic supervision and guidance)
  • Super-R (origin project)
  • Rights holder: Fundação Universidade de Brasília (UnB)
News

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