发表机构
FHNW University of Applied Sciences and Arts Northwestern Switzerland（瑞士西北应用科学与艺术大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出AI-SDLC，一个轻量级规格驱动的生命周期，将软件工程实践与仓库本地指导结合，使AI编码代理在受治理的流程中有界自主运行，并通过学生调查验证其教育与实用价值。
AI 中文摘要
AI编码代理日益支持超越代码补全的软件开发，包括规划、实现、测试和仓库级任务执行。然而，它们的实际使用通常与既定的软件工程实践联系薄弱。本工作的目标是开发并评估一个轻量级、规格驱动的生命周期，用于受治理的代理式软件工程。该生命周期将既定的软件工程实践与通过规格、此http URL和特定阶段的代理技能文件提供的仓库本地指导相结合。该方法是在FHNW课程“AI辅助软件开发”的背景下开发的，并由学生应用于面向业务的软件用例。通过一项结合封闭式评分项目和开放式问题的学生调查，探讨了其教育和实践适用性。本工作的贡献是一个面向过程的框架，使AI编码代理能够在明确、可审查且面向测试的软件开发生命周期内以有界自主性运行。
英文摘要
AI coding agents increasingly support software development beyond code completion, including planning, implementation, testing, and repository-level task execution. Their practical use, however, often remains only weakly connected to established software engineering practices. The aim of this work is to develop and evaluate a lightweight, spec-driven lifecycle for governed agentic software engineering. The lifecycle combines established software engineering practices with repository-local guidance through specifications, AGENTS.md, and phase-specific agent skill files. The approach was developed in the context of the FHNW course AI-assisted Software Development and applied by students to business-oriented software use cases. Its educational and practical applicability is explored through a student survey combining closed rating items with open-ended questions. The contribution of this work is a process-oriented framework that enables AI coding agents to operate with bounded autonomy within an explicit, reviewable, and test-oriented software development lifecycle.
CommentsAccepted for publication in the Journal of the Upper Rhine Artificial Intelligence (URAI) Symposium 2026
