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

Kerem Akkaya and Tolga Ovatman
Additional contact information
Kerem Akkaya: Fibabanka, Turkey
Tolga Ovatman: Istanbul Technical University, Turkey

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2022, vol. 13, issue 1, 1-26

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.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... .4018/IJSSMET.298677 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:13:y:2022:i:1:p:1-26

Access Statistics for this article

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

More articles in International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) from IGI Global
Bibliographic data for series maintained by Journal Editor ().