Metamodelling: State of the art and research challenges

Jonathan Sprinkle, Bernhard Rumpe, Hans Vangheluwe, Gabor Karsai

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

25 Citations (Scopus)

Abstract

This chapter discusses the current state of the art, and emerging research challenges, for metamodelling. In the state-of-the-art review on metamodelling, we review approaches, abstractions, and tools for metamodelling, evaluate them with respect to their expressivity, investigate what role(s) metamodels may play at run-time and how semantics can be assigned to metamodels and the domain-specific modeling languages they could define. In the emerging challenges section on metamodelling we highlight research issues regarding the management of complexity, consistency, and evolution of metamodels, and how the semantics of metamodels impacts each of these.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages57-76
Number of pages20
Volume6100 LNCS
DOIs
StatePublished - 2010
EventInternational Dagstuhl Workshop on Model-Based Engineering of Embedded Real-Time Systems - Dagstuhl Castle, Germany
Duration: Nov 4 2010Nov 9 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6100 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Dagstuhl Workshop on Model-Based Engineering of Embedded Real-Time Systems
CountryGermany
CityDagstuhl Castle
Period11/4/1011/9/10

Fingerprint

Metamodeling
Metamodel
Semantics
Domain-specific Languages
Modeling Language
Evaluate
Review
Modeling languages

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Sprinkle, J., Rumpe, B., Vangheluwe, H., & Karsai, G. (2010). Metamodelling: State of the art and research challenges. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6100 LNCS, pp. 57-76). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6100 LNCS). https://doi.org/10.1007/978-3-642-16277-0_3

Metamodelling : State of the art and research challenges. / Sprinkle, Jonathan; Rumpe, Bernhard; Vangheluwe, Hans; Karsai, Gabor.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6100 LNCS 2010. p. 57-76 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6100 LNCS).

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

Sprinkle, J, Rumpe, B, Vangheluwe, H & Karsai, G 2010, Metamodelling: State of the art and research challenges. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6100 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6100 LNCS, pp. 57-76, International Dagstuhl Workshop on Model-Based Engineering of Embedded Real-Time Systems, Dagstuhl Castle, Germany, 11/4/10. https://doi.org/10.1007/978-3-642-16277-0_3
Sprinkle J, Rumpe B, Vangheluwe H, Karsai G. Metamodelling: State of the art and research challenges. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6100 LNCS. 2010. p. 57-76. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-16277-0_3
Sprinkle, Jonathan ; Rumpe, Bernhard ; Vangheluwe, Hans ; Karsai, Gabor. / Metamodelling : State of the art and research challenges. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6100 LNCS 2010. pp. 57-76 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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