MULTI 2023 - 10th International Workshop on Multi-Level Modeling colocated with Models 2023 (Event)

Activity: Membership/FunctionProgram committee

Description

The MULTI workshop series is the premier venue for researchers and practitioners working on multi-level modeling and multi-level software development. Multi-level modeling represents a new object-oriented paradigm for both conceptual modelling and software engineering. In contrast to conventional two-level approaches, it supports an unbounded number of classification levels and introduces concepts and mechanisms that foster reuse, adaptability, and control. While multi-level languages and tools have reached considerable maturity, the field still offers numerous challenges. The MULTI workshop series aims at providing a platform for exchanging ideas and promoting further development of multi-level languages, methods, and tools. A particular goal is to encourage the community to, beyond proposing new approaches, analyse different approaches to multi-level modelling and define objective ways to evaluate their respective strengths and weaknesses. Non-exclusive workshop themes in 2023 will be multi-level modeling in education and understanding industry needs. To be held as a satellite event of the MODELS 2023 conference, MULTI 2023 will strive to accommodate remote participation and presentation, if possible. All accepted papers will be published by IEEE in a companion volume alongside the main proceedings of MODELS 2023.
Period02 Oct 2023
Event titleMULTI 2023 - 10th International Workshop on Multi-Level Modeling colocated with Models 2023
Event typeOther
LocationSwedenShow on map

Fields of science

  • 102006 Computer supported cooperative work (CSCW)
  • 102016 IT security
  • 102027 Web engineering
  • 502050 Business informatics
  • 102020 Medical informatics
  • 502032 Quality management
  • 503015 Subject didactics of technical sciences
  • 102022 Software development
  • 102034 Cyber-physical systems
  • 102015 Information systems
  • 509026 Digitalisation research

JKU Focus areas

  • Digital Transformation