Program Committee Member at MULTI 2021 (Schütz) (Event)

Activity: Membership/FunctionProgram committee

Description

The yearly MULTI workshop is the premier event for researchers and practitioners working on multilevel modelling and multilevel software development. Together with the Models Conference, MULTI 2021 will be fully virtual and will accommodate remote participation and presentation. All accepted papers presented online will be published by IEEE. Multilevel language architectures represent a new object-oriented paradigm both for conceptual modelling and software engineering. In contrast to conventional approaches, they allow for an arbitrary number of classification levels and introduce other concepts that foster reuse and adaptability. While multilevel languages and tools have reached a considerable maturity, the field still offers numerous challenges. The MULTI workshop series is dedicated to bring together experts who develop and apply multilevel language technologies as well as those who focus on specific analysis and design methods or on economic aspects of this new paradigm. Multilevel modelling is an emerging new modelling paradigm that offers exciting new perspectives not only for conceptual modelling, but also for the development of software systems that are integrated with models of themselves. Multilevel DSMLs allow for combining the benefits of economies of scale with the productivity enabled by concepts that were designed for very specific domains. Multilevel modelling has been used successfully in a wide range of projects. The MULTI series is aimed at providing a platform for exchanging ideas and promoting the further development of multilevel languages, methods and tools. In particular, the goal is to encourage the community to delineate different approaches to multilevel modelling and define objective ways to evaluate their respective strengths and weaknesses.
Period01 Jul 202131 Aug 2021
Event titleProgram Committee Member at MULTI 2021 (Schütz)
Event typeOther
LocationAustriaShow on map

Fields of science

  • 102028 Knowledge engineering
  • 102016 IT security
  • 102027 Web engineering
  • 503008 E-learning
  • 102 Computer Sciences
  • 502058 Digital transformation
  • 509026 Digitalisation research
  • 502050 Business informatics
  • 102030 Semantic technologies
  • 102033 Data mining
  • 102010 Database systems
  • 102035 Data science
  • 102015 Information systems
  • 102025 Distributed systems

JKU Focus areas

  • Digital Transformation