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A Comparative Study of Meta-Data-Based Microservice Extraction Tools

Author

Listed:
  • Kerem Akkaya

    (Fibabanka, Turkey)

  • Tolga Ovatman

    (Istanbul Technical University, Turkey)

Abstract

Microservices are state-of-the-art architectural patterns for developing highly resilient and scalable applications to be hosted on the web. One of the tedious and challenging aspects on applying microservice pattern is the process of transforming legacy "monolithic" software to microservices. This process, named microservice extraction, is mostly done manually because of its complicated nature and the need for domain expertise. In this study, meta-data driven tools that aim to perform automatic extraction of microservices are focused. Initially, the studies that perform automatic microservice extraction are reviewed to identify public meta-data based tools. Afterwards, the identified tools are investigated by their relative success in extracting microservices. Reviewed tools suffer over-decomposition during extraction and most of them fail to provide a mature basis when considered to exhibit practical value to be used in real-world cases.

Suggested Citation

  • Kerem Akkaya & Tolga Ovatman, 2022. "A Comparative Study of Meta-Data-Based Microservice Extraction Tools," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-26, January.
    • Handle: RePEc:igg:jssmet:v:13:y:2022:i:1:p:1-26
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    References listed on IDEAS

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    1. Zohra Sbaï & Rawand Guerfel, 2016. "CTL Model Checking of Web Services Composition based on Open Workflow Nets Modeling," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 7(1), pages 27-42, January.
    2. Mohsen Rouached, 2021. "Web Service Composition Security: A Three-Dimensions Overview," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 12(3), pages 154-174, May.
    3. Vikas Kumar & Aashish Bhardwaj, 2020. "Deploying Cloud-Based Healthcare Services: A Holistic Approach," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 11(4), pages 87-100, October.
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    Cited by:

    1. Jon A. Chilingerian & Mitchell P. V. Glavin, 2024. "Evaluating Cardiac Surgeon Performance: A Retrospective and Exploratory Study," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 15(1), pages 1-27, January.
    2. Aigerim Burakhanova & Gulshat Baizhaxynova & Aizhan Duisebayeva & Maira Davletova & Botagoz Nurakhova, 2023. "Using Artificial Intelligence for Retail Value Chain," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 14(1), pages 1-21, January.

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