Modeling Language Engineering 4.0: From Design-Time to Runtime and Back Again

Activity: Talk or presentationContributed talkscience-to-science

Description

Modeling languages started as key elements for sketching and documenting software-intensive systems. Today, we often recognize a discrepancy between design models concentrating on the desired behaviour of a system and its real world correspondents reflecting deviations taking place at runtime. In order to close this gap, design models must not be static elements, but evolutionary ones. However, this requires a new generation of modeling languages equipped with an explicit runtime perspective incorporating operational data. Efficiently developing such modeling languages with novel language engineering methods is our quest in the research laboratory CDL-MINT (https://cdl-mint.se.jku.at). In particular, we focus the model-driven continuous evolution of Industry 4.0 systems based on operational data gathered and analysed at runtime. In my talk, I will present some initial results of this project, in particular a novel language engineering method for linking design models with operational data. I will also elaborate on the proposed technologies for the respective architectural layers for realizing such modeling languages and identify the research challenges ahead.
Period07 Oct 2020
Event titleEDOC 2020, The Enterprise Computing Conference, Eindhoven, The Neverlands, October 5-8, 2020,
Event typeConference
LocationAustriaShow on map

Fields of science

  • 202017 Embedded systems
  • 102006 Computer supported cooperative work (CSCW)
  • 201132 Computational engineering
  • 502032 Quality management
  • 503015 Subject didactics of technical sciences
  • 502050 Business informatics
  • 207409 Navigation systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102002 Augmented reality
  • 201305 Traffic engineering
  • 102034 Cyber-physical systems
  • 102015 Information systems
  • 102040 Quantum computing 
  • 509026 Digitalisation research
  • 211928 Systems engineering
  • 102027 Web engineering
  • 102016 IT security

JKU Focus areas

  • Digital Transformation