Impact of Modularization and Coupling on the Complexity of Industrial Control and Automation Systems

  • Aydin Homay
  • , Martin Wollschlaeger
  • , Mario de Sousa
  • , Alois Zoitl

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Coupling could be an arbitrary property to Industrial Automation and Control Systems (ICAS) with a significant impact on complexity. Different software design approaches may result in coupling between software modules that either increase or decrease the overall system complexity. This paper proposes using the Cynefin Framework to guide the software design patterns used during the high-level design of software architecture, with the intent of reducing components coupling and overall system complexity.
Original languageEnglish
Title of host publicationProceedings of the 27th International Conference on Emerging Technologies and Factory Automation (ETFA 2022)
Place of PublicationNew York City, USA
PublisherIEEE
Pages1-7
Number of pages7
ISBN (Electronic)9781665499965
ISBN (Print)978-1-6654-9996-5
DOIs
Publication statusPublished - Oct 2022

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume2022-September
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fields of science

  • 202017 Embedded systems
  • 102022 Software development
  • 102025 Distributed systems
  • 102029 Practical computer science
  • 202003 Automation
  • 202041 Computer engineering

JKU Focus areas

  • Digital Transformation

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