Microservices Backlog—A Genetic Programming Technique for Identification and Evaluation of Microservices From User Stories
Date Issued
2021
Author(s) USM
Astudillo, Hernán
DOI
10.1109/ACCESS.2021.3106342
Abstract
The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is defined by the number of operatio
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