Human Factors in the Adoption of Model-Driven Engineering: An Educator’s Perspective

Conference paper

DOI: 10.1007/978-3-319-47717-6_18

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9975)
Cite this paper as:
Cabot J., Kolovos D.S. (2016) Human Factors in the Adoption of Model-Driven Engineering: An Educator’s Perspective. In: Link S., Trujillo J. (eds) Advances in Conceptual Modeling. ER 2016. Lecture Notes in Computer Science, vol 9975. Springer, Cham

Abstract

This paper complements previous empirical studies on teaching Model-driven Engineering (MDE) by reporting on the authors’ attempt at introducing MDE to undergrad students. This is important because: (1) today’s students are tomorrow’s professionals and industrial adoption depends also on the availability of trained professionals and (2) observing problems in the introduction of MDE in the more controlled environment of a classroom setting allows us to identify additional adoption factors, more at the individual level, to be taken into account after in industrial settings. As we report herein, this attempt was largely unsuccessful. We will analyze what went wrong, what we learned from the process and the implications this has for both future endeavors of introducing MDE in both educational and professional environments, particularly regarding human/socio-technical factors to be considered.

Keywords

Education Model-driven engineering Code-generation Empirical 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.ICREABarcelonaSpain
  2. 2.Internet Interdisciplinary InstituteUOCCastelldefelsSpain
  3. 3.Department of Computer ScienceUniversity of YorkYorkUK

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