Early phases of IT project management require well-structured plan and scope documents, which are often created manually and prone to inconsistencies. This paper presents MAPS-AI, an AI-assisted tool for model-driven generation of project initiation artefacts. It transforms high-level conceptual models into structured plans and scopes, combining large language models with model transformation rules. MAPS-AI integrates modelling, AI-assisted text generation, and prompt engineering techniques to enhance content relevance and consistency. This paper demonstrates the tool prototype, showcasing its potential to improve content traceability in early project phases.

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MAPS-AI – A Tool for AI-Assisted Model-Driven Generation of IT Project Plan and Scope

  • Oksana Nikiforova,
  • Rihards Bobkovs,
  • Megija Krista Miļūne,
  • Kristaps Babris,
  • Oscar Pastor,
  • Jānis Grabis

摘要

Early phases of IT project management require well-structured plan and scope documents, which are often created manually and prone to inconsistencies. This paper presents MAPS-AI, an AI-assisted tool for model-driven generation of project initiation artefacts. It transforms high-level conceptual models into structured plans and scopes, combining large language models with model transformation rules. MAPS-AI integrates modelling, AI-assisted text generation, and prompt engineering techniques to enhance content relevance and consistency. This paper demonstrates the tool prototype, showcasing its potential to improve content traceability in early project phases.