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Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

Annals of Computer Science and Information Systems, Volume 43

A Framework for Model-Driven AI-Assisted Generation of IT Project Management Plan and Scope Documents

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DOI: http://dx.doi.org/10.15439/2025F8736

Citation: Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 43, pages 121–132 ()

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Abstract. This paper presents a model-driven AI-assisted approach for generating IT project management plan and scope documents, aiming to improve efficiency and quality in software development projects. Effective documentation in the early project phase is critical, yet often resource-intensive. The proposed solution consolidates best practices from widely used project management methodologies and standards to create a dynamic, adaptable framework for document generation. The study identifies key components and input data required for generating high-quality plans using model transformations and generative AI. A prototype supporting the solution is developed featuring a local processing engine, integrated with a large language model, a vector database, and an embedded model.

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