AI and Systems Engineering research reviewed over a decade

This paper reviews a decade of research at the intersection of Artificial Intelligence (AI) and Systems Engineering (SE), identifying key advancements and persistent gaps. The authors categorize progress into foundational, applied, and LLM inflection phases, based on their analysis of core papers. A literature review using six AI models assessed the relevance of over 2,500 articles, revealing five critical research gaps and offering guidance for practitioners on AI adoption and workforce transformation in SE. The authors have made their agreement data and a web application, the AI4SE/SE4AI Explorer, publicly available. AI

IMPACT Provides a structured overview and identifies research gaps in the intersection of AI and Systems Engineering.

RANK_REASON The item is an academic paper discussing research findings and a decade of exploration in a specific field. [lever_c_demoted from research: ic=1 ai=1.0]

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