一句话：提出一种AI辅助的微服务架构一致性检查方法，覆盖结构与行为维度，提升自动化、准确性与可扩展性。
微服务架构具备可扩展性、灵活性和模块化优势，但其分布式、异构及动态通信等特征使系统更易出现架构偏离与侵蚀。确保计划架构与实现架构一致，即架构一致性检查（ACC），在微服务场景下尤为困难。本文提出一种AI辅助的ACC方法，同时面向结构维度与行为维度，旨在将人工智能融入一致性检查流程，以提升架构一致性验证的自动化程度、准确性与可扩展性。目前摘要仅给出研究设想与目标，尚未报告具体技术细节、实验评估或案例研究结果。
Microservice-based architectures (MSA) offer scalability, flexibility, and modularity, but their distributed and heterogeneous nature increases the risk of architectural deviation and erosion. Ensuring consistency between the planned and implemented architecture, known as Architectural Conformance Checking (ACC), is particularly challenging in MSA due to their distributed nature, heterogeneous technologies, and dynamic communication mechanisms. This research proposes an AI-assisted approach for ACC in MSA, addressing both structural and behavioral dimensions. This work aims to advance the state of the art by integrating AI into the ACC process, improving automation, accuracy, and scalability in architectural conformance verification.