Preface to the 8th International Workshop on Multi-Level Modelling (MULTI 2021)

Bernd Neumayr, Gergely Mezei, Victorio A. Carvalho

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

Abstract

Multi-level modeling (MLM) represents a significant extension to the traditional two-level object-oriented paradigm with the potential to dramatically improve upon the utility, reliability and complexity of models. Different from conventional approaches, they allow for an arbitrary number of classification levels and introduce other concepts that foster expressiveness, reuse and adaptability. A key aspect of the MLM paradigm is the use of entities that are simultaneously types and instances, a feature which has consequences for conceptual modeling, language engineering and for the development of model-based software systems.
Original languageEnglish
Title of host publicationProceedings of the 8th International Workshop on Multi-Level Modelling (MULTI 2021) in conjunction with the ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C 2021), Virtual Conference, October 10-15, 2021
PublisherIEEE Press
Pages493-494
Number of pages2
ISBN (Print)978-1-6654-2484-4
DOIs
Publication statusPublished - Oct 2021

Fields of science

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

JKU Focus areas

  • Digital Transformation

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