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人工智能时代的软件工程能力

WIP: Software Engineering Competencies in the Age of AI

Lynn Vonderhaar, Massood Towhidnejad, Omar Ochoa

arXiv 2607.12259首次发表:更新:

AI 中文总结

针对行业需求变化快,尤其是人工智能应用兴起后软件工程能力模型未及时体现的情况,回顾文献激发软件工程能力模型中的人工智能素养和开发两项新能力,并分析行业需求提出其必要技能领域。

AI 中文摘要

大学教育旨在让毕业生为进入职场并取得成功做好充分准备。认证机构和专业组织通过发布课程内容、技能和能力模型来帮助实现这一目标。尽管这些课程指南和能力模型会定期更新,但行业需求变化迅速,往往未在模型中得到恰当体现,如今人工智能在行业中的应用兴起就是如此。本文回顾描述行业内人工智能需求的文献,以在软件工程能力模型中激发两项新的人工智能能力,即人工智能素养和人工智能开发。接着分析文献中描述的行业需求,为这些新能力提出必要的技能领域。

英文摘要

A university education is meant to fully prepare graduates to enter and succeed in the workforce in their field. Accreditation bodies and professional organizations help to achieve this by publishing curriculum content, skills and competency models to outline the basics that universities must teach within a degree program. Although these curriculum guidelines and competency models are periodically updated to align university curricula with current industry needs, the needs of industry evolve rapidly and are often not properly reflected within the model, a situation which is occurring now with the rise of Artificial Intelligence (AI) use in industry. This paper reviews literature describing the AI needs within industry to motivate two new AI competencies, AI Literacy and AI development, within the Software Engineering Competency Model (SWECOM). This work then analyzes the industry needs described in the literature to propose the necessary skill areas for these new competencies.

CommentsAccepted to Frontiers in Education (FIE) 2026

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