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P2 At What Cost? Software Developers’ Well-Being in the Age of GenAI

代价几何?生成式 AI 时代软件开发者的福祉
FSE Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering2026匹配度 1/10 · 该论文是一篇立场论文,聚焦 GenAI 对开发者福祉、社会语境与可持续生产力的影响,属于软件工程中的人因/HCI 议题,与用户关注的两大主线(PL↔AI 静态分析、浮点/贝叶斯程序分析与 LLM 交叉)没有实质交集,也未涉及任何形式化方法、程序分析或工具实现。引用 1 inbox
Mariam Guizani, Maduka Subasinghage, Sherlock Licorish, Sofia Ouhbi
crossref: 2026-09-12dblp: 2026-09-12arxiv: 2026-09-12

AI 速览

一句话:呼吁 GenAI 软件开发研究从性能指标转向开发者福祉、社会语境与可持续生产力。

生成式人工智能正在迅速重塑软件开发,产业与研究界日益强调加速生产力和优化性能。然而,过度聚焦这些维度可能忽视对开发者福祉的关键影响:GenAI 工具可能加重认知负荷,引入新的监督式劳动,并推高对产出与节奏的期待,进而导致压力、倦怠和工作与生活失衡。GenAI 运动也在改变职业规范、改变职业入口、要求持续适应,并加深在访问与支持方面的不平等。这篇立场论文主张重新调整软件开发领域中 GenAI 的研究议程,并提出了一个理论框架,以超越狭隘的性能指标,将人的体验、社会语境和可持续生产力也置于研究核心。

问题
研究问题在于:GenAI 被快速引入软件开发后,过度强调生产力和性能,可能系统性地忽视开发者的认知负荷、监督劳动、压力、倦怠与职业不平等。
方法
本文是一篇立场论文,通过批判性论证指出现有研究议程的局限,并提出一个以人的体验、社会语境和可持续生产力为核心的理论框架。
评估
本文未开展实证评估或工具实验,而是以立场论述、议程重定向和理论框架 proposal 为主要贡献。
原文摘要(Abstract)

Generative Artificial Intelligence (GenAI) is rapidly reshaping software development, with growing emphasis on accelerating productivity and optimizing performance. However, excessive focus on such dimensions risks overlooking the critical implications for developer well-being. GenAI tools can amplify cognitive load, introduce new forms of oversight labor, and escalate expectations around output and pace, contributing to stress, burnout, and diminished work-life balance. The GenAI movement is also transforming professional norms, altering career entry points, demanding continuous adaptation, and deepening inequalities in access and support. This position paper calls for a reorientation of the GenAI research agenda in software development and proposes a theoretical framework to move beyond narrow performance metrics toward investigations that also center on human experience, social context, and sustainable productivity.

链接与引用

DOI 原文 · arXiv · PDF(开放获取) · DBLP

BibTeX
@inproceedings{abs-2605-22349,
  title = {At What Cost? Software Developers’ Well-Being in the Age of GenAI},
  author = {Mariam Guizani and Maduka Subasinghage and Sherlock Licorish and Sofia Ouhbi},
  booktitle = {FSE},
  year = {2026},
  doi = {10.1145/3803437.3805581}
}