Generative AI (GenAI) tools are increasingly being adopted in software development as productivity aids. However, evidence regarding where and when these tools actually enhance productivity is unclear. In this paper, we investigate how GenAI adoption affects different dimensions of developer productivity. We surveyed 415 software practitioners to capture their perceptions of productivity changes associated with AI-assisted development using the SPACE framework - Satisfaction and well-being, Performance, Activity, Communication and collaboration, and Efficiency and flow. Our results, disaggregated by frequency of AI usage, reveal limited overall productivity change, highlighting the productivity paradox in which developers become faster but do not necessarily create better software or feel more fulfilled.
翻译:生成式人工智能(GenAI)工具正日益作为生产力辅助手段被软件开发领域采纳。然而,关于这些工具在何种场景及何时能切实提升生产力的证据尚不明确。本文通过调查415名软件从业者,采用SPACE框架(满意度与幸福感、绩效表现、活动量、沟通协作、效率与心流)探究GenAI应用如何影响开发者生产力的不同维度。研究结果按AI使用频率进行分层分析,显示整体生产力提升有限,揭示了生产力悖论现象:开发者工作速度虽加快,但未必能产出更优质的软件或获得更高的职业满足感。