Assessing Evolution of Microservices Using Static Analysis Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/app142210725
Microservices have gained widespread adoption in enterprise software systems because they encapsulate the expertise of specific organizational subunits. This approach offers valuable insights into internal processes and communication channels. The advantage of microservices lies in their self-contained nature, streamlining management and deployment. However, this decentralized approach scatters knowledge across microservices, making it challenging to grasp the holistic system. As these systems continually evolve, substantial changes may affect not only individual microservices but the entire system. This dynamic environment increases the complexity of system maintenance, emphasizing the need for centralized assessment methods to analyze these changes. This paper derives and introduces quantification metrics to serve as indicators for investigating system architecture evolution across different system versions. It focuses on two holistic viewpoints of inter-service interaction and data perspectives derived through static analysis of the system’s source code. The approach is demonstrated with a case study using established microservice system benchmarks.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app142210725
- OA Status
- gold
- Cited By
- 3
- References
- 37
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4404544733Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/app142210725Digital Object Identifier
- Title
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Assessing Evolution of Microservices Using Static AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-11-20Full publication date if available
- Authors
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Amr S. Abdelfattah, Tomáš Černý, Jorge Yero, Xiaozhou Li, Davide Taibi, Eun-Jee SongList of authors in order
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https://doi.org/10.3390/app142210725Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.3390/app142210725Direct OA link when available
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Microservices, Computer science, Viewpoints, GRASP, Software deployment, Software engineering, Domain (mathematical analysis), Systems engineering, Distributed computing, Data science, Engineering, Cloud computing, Operating system, Visual arts, Mathematical analysis, Mathematics, ArtTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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