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MDE Intelligence 2021: 3 rdWorkshop on Artificial Intelligence and Model-Driven Engineering

  • Loli Burgueno
  • , Marouane Kessentini
  • , Manuel Wimmer
  • , Steffen Zschaler

Research output: Chapter in Book/Report/Conference proceedingConference proceedings

Abstract

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. This workshop provides a forum to discuss, study and explore the opportunities and challenges raised by the integration of AI and MDE.
Original languageEnglish
Title of host publicationCompanion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021
Pages148-149
Number of pages2
ISBN (Electronic)9781665424844
DOIs
Publication statusPublished - Oct 2021

Fields of science

  • 202017 Embedded systems
  • 102002 Augmented reality
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102034 Cyber-physical systems
  • 201132 Computational engineering
  • 201305 Traffic engineering
  • 207409 Navigation systems
  • 502032 Quality management
  • 502050 Business informatics
  • 503015 Subject didactics of technical sciences

JKU Focus areas

  • Digital Transformation

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