The Relevance of Model-Driven Engineering Thirty years from Now
Paper i proceeding, 2014

Although model-driven engineering (MDE) is now an established approach for developing complex software systems, it has not been universally adopted by the software industry. In order to better understand the reasons for this, as well as to identify future opportunities for MDE, we carried out a week-long design thinking experiment with 15 MDE experts. Participants were facilitated to identify the biggest problems with current MDE technologies, to identify grand challenges for society in the near future, and to identify ways that MDE could help to address these challenges. The outcome is a reflection of the current strengths of MDE, an outlook of the most pressing challenges for society at large over the next three decades, and an analysis of key future MDE research opportunities.


G. Mussbacher

McGill University

D. Amyot

University of Ottawa

R. Breu

University of Innsbruck

J.-M. Bruel

Université de Toulouse

B.H.C. Cheng

Michigan State University

P. Collet

Université Nice Sophia Antipolis (UNS)

B. Combemale

Institut National de Recherche en Informatique et en Automatique (INRIA)

R.B. France

Colorado State University

Rogardt Heldal

Chalmers, Data- och informationsteknik, Software Engineering

J. Hill

Indiana University - Purdue University Indianapolis

J. Kienzle

McGill University

M. Schottle

McGill University

F. Steimann

FernUniversitat in Hagen

D. Stikkolorum

Universiteit Leiden

Jon Whittle

Lancaster University

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 8767 183-200
978-3-319-11652-5 (ISBN)


Data- och informationsvetenskap





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