迈向可持续的软件架构社区：评估ICSA的环境影响
Toward a Sustainable Software Architecture Community: Evaluating ICSA's Environmental Impact
AI总结：
本文评估了ICSA会议中生成式AI和传统活动的环境影响，提出碳足迹报告，探讨可持续软件架构的研究方法和改进措施。
摘要：
生成式AI工具日益融入软件架构研究，但其计算使用的影响尚无记录。本文首次系统审计了GenAI在研究论文中的数字足迹以及ICSA会议的传统足迹。报告了两个相关于软件架构研究社区的碳清单：一是与接受论文相关的GenAI推理使用足迹，二是ICSA 2025会议的参会和运营足迹。这些清单支持透明度和社区反思，讨论了可持续软件架构的影响，包括透明度、绿色会议规划和改进GenAI能源效率的建议。
英文摘要：
Generative AI (GenAI) tools are increasingly integrated into software architecture research, yet the environmental impact of their computational usage remains largely undocumented. This study presents the first systematic audit of the carbon footprint of both the digital footprint from GenAI usage in research papers, and the traditional footprint from conference activities within the context of the IEEE International Conference on Software Architecture (ICSA). We report two separate carbon inventories relevant to the software architecture research community: i) an exploratory estimate of the footprint of GenAI inference usage associated with accepted papers within a research-artifact boundary, and ii) the conference attendance and operations footprint of ICSA 2025 (travel, accommodation, catering, venue energy, and materials) within the conference time boundary. These two inventories, with different system boundaries and completeness, support transparency and community reflection. We discuss implications for sustainable software architecture, including recommendations for transparency, greener conference planning, and improved energy efficiency in GenAI operations. Our work supports a more climate-conscious research culture within the ICSA community and beyond
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
