Model Transformation-Based AI-Assisted Identification of Key Artifacts in IT Project Initiation Management: A Conceptual Model
Proceedings of the 66th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS'2025) 2025
Megija Krista Miļūne, Oksana Ņikiforova, Oscar Pastor Lopez

The initiation phase of IT project management plays a critical role in determining the success of the overall project. However, the absence of standardized approaches and guidelines for defining and managing initiation phase artifacts often leads to challenges in resource planning, risk identification, and team coordination. These challenges can result in project delays, cost overruns, and reduced quality. This paper presents a conceptual model for the definition and automated identification of key management artifacts in the initiation phase of IT projects. A comprehensive literature review was conducted to analyze existing initiation artifacts and their interrelationships. Based on the findings, key characteristics, components, inputs, and outputs of the artifacts were identified and synthesized. The proposed conceptual model captures the structural and semantic relationships between artifacts and establishes a foundation for their automated extraction from project data. By supporting IT project managers in systematically identifying and utilizing relevant initiation artifacts, the model aims to improve planning accuracy, risk mitigation, and project quality. The paper concludes with practical implications of the model and suggests directions for future research.


Atslēgas vārdi
IT project management, project initiation, conceptual model, model transformation, large language model
DOI
10.1109/ITMS67030.2025.11236707
Hipersaite
https://ieeexplore.ieee.org/document/11236707

Miļūne, M., Ņikiforova, O., Pastor Lopez, O. Model Transformation-Based AI-Assisted Identification of Key Artifacts in IT Project Initiation Management: A Conceptual Model. No: Proceedings of the 66th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS'2025), Latvija, Rīga, 9.-10. oktobris, 2025. https://ieeexplore.ieee.org/: IEEE Xplore, 2025, 1.-8.lpp. Pieejams: doi:10.1109/ITMS67030.2025.11236707

Publikācijas valoda
English (en)
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