一句话：研究 LLM 等 AI 工具如何在不损害软件质量与开发者福祉的前提下融入软件工程生命周期。
该博士项目关注生成式 AI（尤其是大语言模型）进入软件工程实践后的人文维度。作者指出，软件工程本质上是以人为中心的，开发全生命周期都涉及行为、认知与社会因素，但当前工业界与学术界对 AI 集成的努力大多侧重技术层面，忽视了这些因素，从而阻碍了 AI 工具的实际落地成效。项目旨在建立科学理解：AI 工具如何被整合进软件工程生命周期，而不牺牲软件质量或从业者的身心健康。研究将考察 AI 采纳的促进因素与障碍，以及它们对工作流适配的影响，尤其聚焦于新兴的“人-AI 团队协作”范式。预期成果可为从业者提供伦理且可持续地采纳 AI 的指导，同时提升生产力与福祉。
The rise of Artificial Intelligence (AI)—especially Generative AI—has transformed software engineering (SE) practices. Yet, SE remains fundamentally human-centered, requiring attention to behavioral, cognitive, and social factors throughout the development life cycle. Despite this, most industrial and academic efforts towards AI integration emphasize technical aspects, hindering practical success. This Ph.D. project aims to develop a scientific understanding of how AI tools, such as Large Language Models, can be integrated into the SE life cycle without compromising software quality or practitioners’ well-being. It investigates the enablers and barriers of AI adoption and their effects on workflow adaptation, particularly within the emerging paradigm of Human-AI teaming. The results will guide practitioners in adopting AI ethically and sustainably, fostering both productivity and well-being.