GTMicro—microservice identification approach based on deep NLP transformer model for greenfield developments-Reference-Cited by-同舟云学术

GTMicro—microservice identification approach based on deep NLP transformer model for greenfield developments

Published:2024-03-08 Issue:5 Volume:16 Page:2751-2761
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Bajaj Deepali,Bharti Urmil^ORCID,Gupta Isha,Gupta Priya,Yadav Asha

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41870-024-01766-5.pdf

Reference43 articles.

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4. Knoche H, Hasselbring W (2019) Drivers and barriers for microservice adoption—a survey among professionals in Germany. Enterp Model Inf Syst Archit Int J Concept Model 14(1):1–35. https://doi.org/10.18417/emisa.14.1

5. Taibi D, Lenarduzzi V, Pahl C (2017) Processes, motivations, and issues for migrating to microservices architectures: an empirical investigation. IEEE Cloud Comput 4(5):22–32. https://doi.org/10.1109/MCC.2017.4250931

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