Intelligent Agile: Conceptual Modeling and AI for Next-Generation Agile Software Development

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Authors: Roman Lukyanenko, Binny Samuel, Araz Jabbari, Anna Wiedemann, Attila Hertelendy, Veda Storey, Arnon Sturm
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Abstract

Although Agile is now the most popular software development methodology, agile projects continue to fail. Conceptual modeling can help address at least two major challenges in agile projects: managing requirements and communication for collaboration and coordination. At the same time, conceptual modeling has not been well received by agile teams, as traditional conceptual modeling comes with high overhead. We propose a new approach to agile that leverages artificial intelligence (AI) and conceptual modeling together. This design approach enables us to advance beyond passive conceptual modeling representations, such as static diagrams, to the new types of information systems (IS), intelligent conceptual modeling systems (ICMS), that have awareness, autonomy, adaptivity, and activity. In this way, conceptual modeling, powered by AI, facilitates requirements and communication in agile projects, resulting in what we call intelligent agile.

Fields of Study & Subjects

Collaboration in agile enterprises

Publication details

Journal / source
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Publisher
Hawaii International Conference on System Sciences
Publication date
1 January 2026
Language
EN