AI applications in requirements engineering: a systematic mapping study
ABSTRACT: Artificial intelligence influences requirements engineering, but it remains unclear which activities benefit and how. This paper reviews 15 studies from the last five years, classifying AI approaches with an established RE framework. Current work focuses on operational tasks: requirements determination, analysis, consolidation, and traceability. About two thirds address single activities rather than integrated solutions. Early-phase tasks like knowledge elicitation receive little support despite being central to practice. The mapping clarifies existing AI support and gaps for future work.
Authors
- Tobias Düser (ORCID: https://orcid.org/0009-0005-6652-2818)
- Felix Mahr
- Melih Sah Dogru
- Jan Penkert
Institutions
- Karlsruhe Institute of Technology (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Blekinge Institute of Technology (SE)
Publication Details
- Journal
- Proceedings of the Design Society
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1017/pds.2026.10584
- Primary Topic
- Software Engineering Techniques and Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00