Decision Models for Microservices - Design Areas, Stakeholders, Use Cases and Requirements

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Abstract

Introducing a microservice architecture is a complex task, which requires many decisions on the system architecture, organizational structures, and system infrastructure. Decision models have been successfully used in other domains for design space exploration, decision making and decision documentation. In this paper, we investigate the use of decision models for microservice architecture. As a first step, we identified different areas of microservice design and created decision models for some of the identified areas. We then used the created models as part of a technical action research (TAR) process with partner companies to identify important stakeholders and use cases for decision models in this context, as well as requirements on decision model elements and presentation. Results indicate that decision models for microservices are perceived as useful by practitioners. Challenges are the large number of interlinked knowledge areas, the need for context-specific adaptations, and the need for processes to manage the decision space over time.
Original languageEnglish
Title of host publication11th European Conference on Software Architecture (ECSA 2017), Canterbury, UK, September 11-17, 2017
EditorsRogerio Rogerio de Lemos, Antonia Lopes
PublisherSpringer
Pages155-170
Number of pages23
Volume10475
DOIs
Publication statusPublished - Sept 2017

Publication series

NameLecture Notes in Computer Science (LNCS)

Fields of science

  • 202005 Computer architecture
  • 202017 Embedded systems
  • 102 Computer Sciences
  • 102002 Augmented reality
  • 102006 Computer supported cooperative work (CSCW)
  • 102011 Formal languages
  • 102015 Information systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102027 Web engineering
  • 201305 Traffic engineering
  • 202022 Information technology
  • 207409 Navigation systems
  • 502032 Quality management
  • 502050 Business informatics

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Management and Innovation

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