Loading...
Intelligent agents for requirements engineering: use, feasibility and evaluation
Date
2025
Abstract
Large language models (LLMs) have enabled new
tools in requirements engineering (RE), often in the form of
intelligent agents or virtual assistants. These tools can transform
how software engineers perform RE tasks and interact with
stakeholders. However, existing research primarily focuses on
showcasing the capabilities of these tools rather than their
design and evaluation in RE-specific contexts. This limits our
understanding of their practical value and hinders broader
adoption. To address this gap, we propose a reference model
to guide the design, use, and evaluation of intelligent RE agents.
Our work introduces new RE use cases, along with evaluation
metrics for intelligent RE agents. We present a study design
to support systematic development and share early findings
demonstrating the feasibility of our approach. The use cases
show how agents can add value for RE practitioners, while
our synthesized catalogue supports tool evaluation. Finally, our
analysis of commercial agents reveals that these tools already
support certain aspects of the envisioned RE use cases.
Supervisor
Description
Preprint.
Publisher
Institute of Electrical and Electronics Engineers
Citation
33rd IEEE International Requirements Engineering Conference (RE 2025)