Microservice transition and its granularity problem: A systematic mapping study. (25th June 2020)

• Record Type: Journal Article
• Authors: Hassan, Sara; Bahsoon, Rami; Kazman, Rick
• Is Part Of: Software, practice & experience. Volume 50:Number 9(2020)
• Page Start: 1651
• Page End: 1681
• Publication Date: 2020-06-25
• Subjects: design decision support -- granularity -- microservices -- software economics -- systematic mapping study; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2869
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: Microservices have gained wide recognition and acceptance in software industries as an emerging architectural style for autonomic, scalable, and more reliable computing. The transition to microservices has been highly motivated by the need for better alignment of technical design decisions with improving value potentials of architectures. Despite microservices' popularity, research still lacks disciplined understanding of transition and consensus on the principles and activities underlying that transition. In this paper, we report on a systematic mapping study that consolidates various views, approaches and activities that commonly assist in the transition to microservices. The study aims to provide a better understanding of the transition; it also contributes a working definition of the transition and technical activities underlying it. We term the transition and technical activities leading to microservice architectures as microservitization. We then shed light on a fundamental problem of microservitization: microservice granularity and reasoning about its adaptation as first‐class entities. This study reviews state‐of‐the‐art and ‐practice related to reasoning about microservice granularity; it reviews modeling approaches, aspects considered, guidelines and processes used to reason about microservice granularity. This study identifies opportunities for future research and development related to reasoning about microservice granularity.