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

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 2025
Jānis Blaževičs, Oksana Ņikiforova, Oscar Pastor Lopez

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.

Atslēgas vārdi
IT project management, project documentation, model-driven development, generative AI, prompt engineering, software development automation, large language models, AI-assisted tools.
DOI
10.15439/2025F8736
Hipersaite
https://annals-csis.org/Volume_43/drp/8736.html

Blaževičs, J., Ņikiforova, O., Pastor Lopez, O. A Framework for Model-Driven AI-Assisted Generation of IT Project Management Plan and Scope Documents. No: 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, Polija, Rìga, 14.-17. septembris, 2025. Poland: ACSIS, Polish Information Processing Society, 2025, 121.-132.lpp. Pieejams: doi:10.15439/2025F8736

Publikācijas valoda
English (en)