Mining Architectural Quality Under Agentic AI Adoption: A Causal Study of Java Repositories
在智能体AI采用下的架构质量挖掘:Java仓库的因果研究
机构 * SDU Software Engineering, University of Southern Denmark(SDU软件工程,丹麦南部大学)
专题命中 程序分析与验证 :repository(abstract);分类 cs.SE、cs.AI
AI总结 通过差分差分设计和Borusyak插值估计器,研究智能体AI工具采用对Java仓库架构气味密度(ASD)的因果影响,发现ASD下降6.7%源于代码量增长,而非架构改进。
Comments 16 pages. Accepted for presentation at the 52nd Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2026, Krakow, Poland, 2-4 September 2026, and for publication in the Springer LNCS proceedings. This is the author's accepted manuscript