回顾十年AI与系统工程融合进展，揭示研究空白与实践路径
AI4SE and SE4AI Exploration: A Decade Looking Back and Forward
- 分三个阶段梳理AI与系统工程融合演进，识别关键发展节点
- 通过1712篇文献评估发现五大研究缺口，支持决策与人才培养
- 开源评价数据与交互工具，助力从业者自主判断技术相关性
2020年3月《INCOSE INSIGHT》关于人工智能与系统工程（SE）的特刊成为该期刊历史上下载量最高的专题，并催生了一个每年吸引超250人参与的年度研讨会社区。本文基于对领域核心论文的研读，将AI与SE的发展划分为三个阶段：基础期、应用期和大模型转折期，阐述了当前学界共识与仍存的关键差距。同时，结合人类专家与六种AI模型对1,712篇INCOSE INSIGHT文章及889篇SERC出版物进行相关性评估。结果揭示了五个关键研究空白，为从业人员在AI采纳、保障与人才转型方面提供指导。本文公开了评估数据与AI4SE/SE4AI Explorer网页应用，供读者对比自身判断与人工及AI评分。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。