AI4SE and SE4AI Exploration: A Decade Looking Back and Forward

A new study traces a decade of progress in the intersection of AI and Systems Engineering (SE) across three developmental phases. By identifying five critical research gaps, the authors provide a roadmap for AI adoption, assurance, and workforce transformation in the field.
Computer Science > Artificial Intelligence
Title:AI4SE and SE4AI Exploration: A Decade Looking Back and Forward
View PDF HTML (experimental)Abstract:The March 2020 INCOSE INSIGHT special issue on AI and Systems Engineering (SE) became the most downloaded issue in the publication's history and launched a research community that now draws over 250 registrants to its annual workshop. In this article, we trace the progress in AI and SE across three phases (labeled here foundational, applied, and LLM inflection) based on the authors' reading of the field's core papers, and describe our opinions of where the community has converged and where critical gaps remain. Separately, a human-AI agreement literature review leveraging both human expertise and six AI models was performed to assess the relevance of 1,712 INCOSE INSIGHT articles and 889 SERC publications. The results identify five critical research gaps and offer guidance for practitioners navigating AI adoption, assurance, and workforce transformation in SE. We share the agreement data and the AI4SE/SE4AI Explorer web application so readers can compare their own relevance judgments with the human and AI raters.
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