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MicroAgent: Context-Augmented Multi-agent Framework for Automatic Microservice Decomposition

Year: 2026

Type: conference-paper

Abstract: The adoption of Microservice Architecture (MSA) has revolutionized software engineering by enhancing scalability, agility, and maintainability over traditional monolithic applications. As more developers transition their legacy systems to microservice-based architectures, effective microservice decomposition—partitioning monolithic applications into highly cohesive services—becomes vital. However, this decomposition task presents significant challenges. Manual approaches are time-consuming and labor-intensive. Existing automated methods often fail to capture the necessary semantic insights from complex applications, while naive applications of Large Language Models tend to overlook crucial contextual information and design principles, leading to suboptimal results.

Source: IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI: 10.1145/3832783.3834441

Authors: Zishan Su, Junjie Huang, Shiwen Shan, Xingyan Chen, Hui Zeng, Yuxin Su, Yanlin Wang, Michael R. Lyu

Institutions: Chinese University of Hong Kong, Sun Yat-sen University

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7166684958

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