Examples play a key role in the human learning process. There exist
numerous theories on learning styles in which examples are used. Thus,
the idea of using examples to derive programs has a long tradition in
computer science. Like many other domains of software engineering, the
model-driven engineering (MDE) community is currently concerned with
the use of examples, such as traceability information and different
kind of models, to search for solutions that fall within a specified
acceptance margin to solve different problems. Much work has been
proposed based on learning from examples such as for model
transformation, model evolution, model analysis, and model testing.
Applying example-based techniques to complex MDE problems necessitates
expertise in both, search-based optimization/machine learning
algorithms and MDE formalisms and techniques. Suggested topics of
interest areas include but are not limited to:

* Machine learning applied to MDE
* Search-based techniques applied to MDE
* The use of traceability information to solve MDE problems
* Benchmarking of example-based techniques applied in MDE
* Prediction models for MDE problems
* New MDE problems that have not been tackled by MDEBE approaches
* Learning from model repositories
* Solving case studies by applying by-example approaches

We invite submissions of technical full papers of up to 10 pages long
in Springer LNCS, Short/Position papers of up to 6 pages to briefly
present research results or ongoing work, and demo papers of up to 3
pages to present new by example tools.


**** PUBLISHING ****

MDEBE is seeking original papers, which have not been submitted
elsewhere. The proceedings will be published in CEUR and indexed by
DBLP.


**** ORGANIZATION ****

Marouane Kessentini (University of Michigian, USA)
Philip Langer (TU Wien, Austria)
Houari Sahraoui (Univeristy of Montreal, Canada)


**** IMPORTANT DATES ****

* Jul 15, 2013 : Paper Submission
* Aug 23, 2013 : Notification
* Sep 29, 2013 : Workshop


**** CONTACT ****

Web : http://www.mdebe.com
Follow us on twitter: @MDEBEWorkshop