Preface

Examples play a key role in the human learning process. Numerous theories exist
on learning styles that build upon examples constituting the basis for deriving
general knowledge. Following this idea, techniques for deriving algorithms and
programs from user-specified examples has a long tradition in computer science.
Like many other domains of software engineering, the research community in
the area of model-driven engineering (MDE) is currently concerned with the ex-
ploitation of examples for deriving general solutions that fall within a specified
acceptance margin to solve specific problems. Recently, several researchers pro-
posed techniques enabling the (semi-)automatic derivation of general solutions
from examples in the field of model transformation, model evolution, model anal-
ysis, and model testing. Applying example-based techniques to complex MDE
problems necessitates expertise in both machine learning or search-based opti-
mization and MDE formalisms and techniques.
    The International Workshop on Model-driven Engineering By Example, in
short MDEBE, aims to bring together researchers working on the application of
example-based techniques to solve MDE problems. This first edition of MDEBE
has been held as a full-day satellite event of the MODELS 2013 conference on
September 29, 2013, in Miami, Florida. In a rigorous review process, the program
committee accepted five submissions. The topics of these five submissions range
from applying model transformation by example techniques manually, producing
model recommenders, modeling business knowledge, through to generating meta-
models from grammars and test cases from model transformations. All papers
share the common theme of exploiting the value of examples in their respective
domain and their individual manner. The program of this workshop consisted
not only of five paper presentations, but also one keynote, as well as one session
dedicated to an open discussion. The keynote was held by Lionel C. Briand on
model-based software testing and verification as a search problem.
    We would like to thank all the authors who contributed to the workshop with
their papers and presentations, Lionel C. Briand for his insightful keynote speech,
the participants for the vibrant discussions, as well as our program committee for
the constructive and competent reviews. Furthermore, we thank the MODELS
Workshop Chairs for their efforts in supporting us in organizing this workshop
and for establishing a relaxed and constructive environment.


November 2013                                                Marouane Kessentini
                                                                   Philip Langer
                                                                Houari Sahraoui
Program Committee
Slim Bechikh              Missouri University of Science and Technology, USA
Mounir Boukadoum          Université du Québec á Montral, Canada
Martin Faunes             Universit de Montral, Canada
Iván Garcı́a-Magariño   Universidad a Distancia de Madrid, Spain
Jeff Gray                 University of Alabama, USA
Marianne Huchard          LIRMM, Université Montpellier 2 et CNRS, France
Gerti Kappel              Vienna University of Technology, Austria
Marouane Kessentini       Missouri University of Science and Technology, USA
Philip Langer             Vienna University of Technology, Austria
Juan De Lara              Universidad Autonoma de Madrid, Spain
Mel Ó Cinnéide          UCD School of Computer Science and Informatics, Ireland
Richard Paige             University of York, UK
Houari Sahraoui           University of Montreal, Canada
Dniel Varró              Budapest University of Technology and Economics, Hungary
Manuel Wimmer             Vienna University of Technology, Austria