Model-Based Methodology for Development of IT Project Management Plan and Scope Using Artificial Intelligence Algorithms - Project in Progress

Sep 12, 2026

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The research project develops a structured approach for generating IT project management plan and scope statement templates through model-driven engineering concepts and artificial intelligence text generation models. The work targets automation of planning and scope artifacts, aiming to improve documentation efficiency and quality. Core activities include evaluating existing IT project management frameworks, building source and target models for planning and scope definition, integrating AI-driven algorithms for template generation, and validating the approach via case studies and prototype development.

LanguageEnglish

CategoryPaper Templates

FormatPDF

Pages7

Reading Time3 min

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Introduction

Project objectives and context

Research background

Scope definition challenges

Research methodology

Phases and validation approach

Current results and development vision

Solution concept and future work

Model-Based Methodology for Development of IT Project Management Plan and Scope Using Artificial Intelligence: Project in Progress ⋆ Oksana Nikiforova1,*,†, Jānis Grabis1,†, Oscar Pastor2,†, Kristaps Babris 1,†, Megija Krista Miļūne1,† and Rihards Bobkovs3,† 1 Riga Technical University, Institute of Information Technology, Riga, Latvia 2 University Politècnica de València, Valencia, Spain Abstract The research project “Model-Based Methodology for Development of IT Project Management Plan and Scope Using Artificial Intelligence Algorithms” aims to elaborate an approach to the development of IT Project Management Plan and Scope Statement templates using model-driven engineering concepts and artificial intelligence algorithms. The project focuses on developing a structured methodology to automate the generation of IT project management plan and project scope artifacts within the principles of MDE and text generation models. Key project activities include analyzing existing project management frameworks, creation of source and target models for project planning and scope definition, integrating AI-driven algorithms for text template generation, and validating the methodology through case studies and prototype development. Keywords IT project management plan, IT project scope, model-driven engineering, artificial intelligence, documentation generation 1. Introduction Information technology (IT) has evolved from mechanical computing to modern digital systems, encompassing hardware, software, networks, and information management [1] . The foundation of IT dates to the 1940s with computing hardware [2], followed by software development to operationalize these machines [3] . The 1968 NATO seminar on the software crisis [4] highlighted rising complexity and costs, prompting the adoption of formal methods [5] to enhance software quality [6] . The rise of personal computing in the 1980s and internet proliferation in the 1990s accelerated IT transformation, expanding software development into web applications and cloud computing. Agile methodologies, introduced in 2001 [7], aimed to accelerate software delivery, yet balancing speed and quality remains a challenge, requiring structured project data management and formal transformation rules [8] . The artificial intelligence (AI) revolution of the 2020s, driven by advancements in large language models (LLMs) and generative AI, has transformed IT project management by enabling automation, intelligent decision-making, and enhanced efficiency. AIpowered tools streamline project planning, risk assessment, and documentation, reducing manual effort and improving accuracy. As a result, IT project management increasingly integrates AIdriven insights to optimize resource allocation, accelerate development cycles, and enhance collaboration in dynamic project environments. ⋆RCIS 2025 Workshops and Research Projects Track. 20-23 May, 2025. Seville, Spain ∗ Corresponding author. † These authors contributed equally. [oksana.nikiforova@rtu.lv](oksana.nikiforova@rtu.lv) (O. Nikiforova); [janis.grabis_1@rtu.lv](janis.grabis_1@rtu.lv) (J. Grabis); [opastor@dsic.upv.es](opastor@dsic.upv.es) (O. Pastor); [kristaps.babris@rtu.lv](kristaps.babris@rtu.lv) (K. Babris); [megija-krista.milune@rtu.lv](megija-krista.milune@rtu.lv) (M.K. Miļūne); [rihards.bobkovs@rtu.lv](rihards.bobkovs@rtu.lv) (R. Bobkovs) 0000-0001-7983-3088 (O. Nikiforova); 0000-0003-2196-0214 (J. Grabis); 0000-0002-1320-8471 (O. Pastor); 0000-0003-3855-6963 (K. Babris); 0009-0002-2417-4518 (M.K. Miļūne); 0009-0006-9104-6590 (R. Bobkovs). © 2025 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4. 0). CEUR [ceur-ws.org](ceur-ws.org)[ ](ceur-ws.org)Workshop ISSN 1613-0073 Proceedings Successful IT project execution relies on robust project initiation, encompassing goal definition, resource planning, feasibility analysis, requirement speci

FAQs

What is the main goal of the project described in the paper?

To elaborate an approach for developing IT project management plan and scope statement templates using model-driven engineering concepts and artificial intelligence algorithms.

Which key activities does the project include?

The project analyzes existing project management frameworks, creates source and target models for planning and scope definition, integrates AI algorithms for text template generation, and validates the methodology through case studies and prototype development.

Why is automating IT project documentation challenging?

Automated tools may generate overly generic plans, lack context awareness, struggle with adaptability, and fail to capture project-specific details, leading to errors or misalignment with actual needs.

Sep 12, 2026

Upload by Miles