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An Integrated Metric for Modularity in a Microservice System

Authors
Primadani, Claudia CahyaLee, Seonah
Issue Date
Sep-2025
Keywords
Microservices; Modularity; Software Assessment; Software Metric
Citation
IEEE International Conference on Software Quality, Reliability and Security, QRS, pp 802 - 813
Pages
12
Indexed
SCOPUS
Journal Title
IEEE International Conference on Software Quality, Reliability and Security, QRS
Start Page
802
End Page
813
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/80340
DOI
10.1109/QRS65678.2025.00083
ISSN
2693-9177
Abstract
Microservices architectures offer significant advantages, including independent deployment, scalability, and improved system flexibility. Nonetheless, as the number of services increases, systems often experience diminished modularity, resulting in architectural degradation. We propose a comprehensive modularity assessment framework that systematically integrates three dimensions of modularity for a microservice system: inter-service coupling, intra-service cohesion, and data dependency. An integrated modularity score that aggregates these individual metrics presents overall architectural modularity. We also evaluate the propose framework by experimenting with seven JavaScript-based microservice systems. The evaluation result demonstrates the framework's ability to identify modularity-related issues and variations across services. The findings provide actionable insights to inform architectural decision-making and promote more maintainable, scalable, and modular microservice systems.
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IT공과대학 (소프트웨어공학과)
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