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MDE Intelligence 2023 - 5th Workshop on Artificial Intelligence and Model-driven Engineering Co-located with Models 2023 (Veranstaltung)

Aktivität: Mitgliedschaft/FunktionProgramm-Komitee

Beschreibung

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 impacting 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 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.
Zeitraum02 Okt. 2023
EreignistitelMDE Intelligence 2023 - 5th Workshop on Artificial Intelligence and Model-driven Engineering Co-located with Models 2023
VeranstaltungstypSonstiges
OrtSchwedenAuf Karte anzeigen

Wissenschaftszweige

  • 102006 Computer Supported Cooperative Work (CSCW)
  • 102016 IT-Sicherheit
  • 102027 Web Engineering
  • 502050 Wirtschaftsinformatik
  • 102020 Medizinische Informatik
  • 502032 Qualitätsmanagement
  • 503015 Fachdidaktik Technische Wissenschaften
  • 102022 Softwareentwicklung
  • 102034 Cyber-Physical Systems
  • 102015 Informationssysteme
  • 509026 Digitalisierungsforschung
  • 102040 Quantencomputing
  • 211928 Systems Engineering

JKU-Schwerpunkte

  • Digital Transformation