MDE Intelligence 2021 - 3rd Workshop on Artificial Intelligence and Model-driven Engineering

Activity: Participating in or organising an eventOrganising a conference, workshop, ...

Description

Artificial Intelligence (AI) has become part of everyone's life. It is used by companies to exploit the information they collect to improve the products and/or services they offer and, wanted or unwanted, it is present in almost every device around us. Lately, AI is also starting to impact all aspects of the system and software development lifecycle, from their upfront specification to their design, testing, deployment and maintenance, with the main goal of helping engineers produce systems and software faster and with better quality while being able to handle ever more complex systems. The hope is that AI will help dealing with the increasing complexity of systems and software. There is no doubt that MDE has been a means to tame until now part of this complexity. However, its adoption by industry still relies on their capacity to manage the underlying methodological changes including among other things the adoption of new tools. To go one step further, we believe there is a clear need for AI-empowered MDE, which will push the limits of "classic" MDE and provide the right techniques to develop the next generation of highly complex model-based system and software systems engineers will have to design tomorrow.
Period10 Oct 202115 Oct 2021
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