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==None==
https://ceur-ws.org/Vol-2999/fpvmdata4mdepreface.pdf
Joint Workshop on Foundations and Practice of
Visual Modeling (FPVM) and Data for Model–Driven
Engineering (Data4MDE)
Amleto Di Salle1 , Alfonso Pierantonio1 , Juha–Pekka Tolvanen2 , Juri Di Rocco1 ,
Juan De Lara3 and Michel Chaudron4
1
University of L’Aquila, Italy
2
Metacase, Finland
3
Autonomous University of Madrid, Spain
4
Eindhoven University of Technology (TUE), The Netherlands
FPVM
The sheer complexity of software systems nowadays made modeling artifacts pervasive through-
out the development process, be use requirements, analysis, design, or development. Whether
models are used for communication or prescriptive purposes, their syntax and pragmatics affect
the usability and represent contributory factors concerning the accidental complexity. The
diversity of modeling notations and approaches permit to classify them according to different
taxonomies. General-purpose and domain-specific modeling languages can be created with
different intended scopes, although all of them can make use of graphical, textual, maps, ma-
trices, tables, and combinations regarding its concrete syntax. These representations have the
undoubted advantage of capture and increase understanding of complex software systems and
better grasp the rationale behind them. In essence, a visual modeling language creates a joint
base for the modeler by improving their communication and lays a solid foundation for the
implementation.
FPVM 2021 aims to promote and foster discussions on many aspects of visual modeling
languages, including novel and visionary ideas and techniques, notations for more expressive
and enhanced model modeling environments, technical editors, and usability of tools and
meta-tools.
The first edition of FPVM was held in virtual mode, on the June 22 2021, and co-located
with the Software Technologies: Applications and Foundations (STAF). FPVM has received
three submissions. After a thorough peer-review process involving three members from the
STAF ’21: Joint Workshop on Foundations and Practice of Visual Modeling (FPVM) and Data for Model–Driven
Engineering (Data4MDE), June 21–25 June, 2021, Bergen, NO
Envelope-Open amleto.disalle@univaq.it (A. Di Salle); alfonso.pierantonio@univaq.it (A. Pierantonio); jpt@metacase.com
(J. Tolvanen); juri.dirocco@univaq.it (J. Di Rocco); Juan.deLara@uam.es (J. De Lara); m.r.v.chaudron@tue.nl
(M. Chaudron)
Orcid 0000-0002-0163-9784 (A. Di Salle); 0000-0002-5231-3952 (A. Pierantonio); 0000-0002-7909-3902 (J. Di Rocco);
0000-0001-9425-6362 (J. De Lara); 0000-0001-7517-6666 (M. Chaudron)
© 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
Proceedings
http://ceur-ws.org
ISSN 1613-0073
CEUR Workshop Proceedings (CEUR-WS.org)
program committee per each submission, three submissions have been accepted for publication
(acceptance rate was 100%).
The workshop program included the invited talk entitled Why Notation Matters and How
Language Engineering Can Help given by Full Professor Manuel Wimmer from Johannes Kepler
Universität Linz (Austria).
We would like to thank the FPVM program committee for making the workshop possible.
Additionally, we would like to thank the STAF workshop chairs Ludovico Iovino and Lars
Michael Kristensen for their help and support, and STAF for hosting the workshop.
FPVM Organization
Workshop Chairs
Amleto Di Salle University of L’Aquila, Italy
Alfonso Pierantonio University of L’Aquila, Italy
Juha–Pekka Tolvanen Metacase, Finland
Program Committee
Luca Berardinelli Johannes Kepler University Linz, Austria
Paolo Bottoni Sapienza University of Roma, Italy
Federico Ciccozzi Mälardalen University, Sweden
Benoit Combemale University of Rennes 1, France
Juan De Lara Autonomous University of Madrid, Spain
Juri Di Rocco University of L’Aquila, Italy
Davide Di Ruscio University of L’Aquila, Italy
Jeff Gray University of Alabama, United Stated of America
Ludovico Iovino Gran Sasso Science Institute, Italy
Dimitris Kovolos University of York, United Kindgom
Sebastien Mosser Université du Québec à Montréal, Canada
Richard Paige McMaster University, Canada
Matthias Tichy University of Ulm, Germany
Hans Vangheluwe University of Antwerp, Belgium and McGill University, Canada
Manuel Wimmer Johannes Kepler University Linz, Austria
Data4MDE
Data is a precious resource and is the most important part of all applications, e.g., data analytics,
machine learning, etc. Without qualitative data, there is no training phase and all the modern
research will go vain. In Model-Driven Engineering (MDE), data are crucial to perform any
research activity like any discipline. MDE researchers spend time and effort to create a suitable
corpus of objects to answer specific research questions. The selection of an adequate corpus of
data often requires intense, tedious, and manual activities. In recent years, MDE adoption is
taking advantage of the integration of Machine Learning (ML) techniques into domain modeling.
Empirical analyses, data analytics, and ML algorithms perform better as much as they can learn
commonalities over massive datasets. Considering the above information, the need for data
is a challenging issue that affects any researcher in their career. This can be brought to the
modeling world, where data are modeling artifacts.
Data4MDE aims to share and discuss identified MDE datasets enabling research in analytics,
reuse, model analysis, testing, learning-based approaches, and many other connected fields.
Data4MDE intends to provide a discussion forum for describing how the data are collected, how
researchers can contribute to the dataset, and how the dataset can help the community with
further research.
The first edition of Data4MDE was held in virtual mode, on the June 22 2021, and co-located
with the Software Technologies: Applications and Foundations (STAF). We would like to thank
the PC members for their availability in reviewing papers.
The workshop program included a keynote talk entitled “Collecting 500K models (and what to
do with them)” by Jesús Sánchez Cuadarado, researcher at Universidad de Murcia (Spain). In
his keynote, he presented MAR: a search engine used to collect and index more than 500.000
models.
Finally, the Data4MDE session included a panel discussion forum where four experts discussed
the main issues to curate the MDE dataset and their proposed applications. Each panelist gave
a short presentation introducing their research and the challenges/opportunities they found in
curating corpus of modeling artifacts. A discussion among the panel and the audience concluded
the session.
Data4MDE Organization
Workshop Chairs
Juri Di Rocco University of L’Aquila, Italy
Juan De Lara Autonomous University of Madrid, Spain
Michel Chaudron Eindhoven University of Technology (TUE), The Netherlands
Keynote
Jesús Sánchez Cuadrado Universidad de Murcia, Spain
Panelists
Jordi Cabot Research center of the Open University of Catalonia, Spain
Jesús Sánchez Cuadrado Universidad de Murcia, Spain
Davide Di Ruscio University of L’Aquila, Italy
Steven Kelly CTO of MetaCase, Finland
Program Committee
Önder Babur University of Technology (TUE), The Netherlands
Francesco Basciani University of L’Aquila, Italy
Loli Burgueño Open University of Catalonia, Spain
Loek Cleophas University of Technology (TUE), The Netherlands
Thomas Degueule Univ. Bordeaux CNRS, France
Romina Eramo University of L’Aquila, Italy
Mirco Franzago University of L’Aquila, Italy
Antonio Garcia-Dominguez Aston University, UK
Johannes Härtel Universität Koblenz-Landau, Germany
Ludovico Iovino Gran Sasso Science Institute, Italy
Ralf Lämmel Universität Koblenz, Germany and Facebook London, UK
Alfonso Pierantonio University of L’Aquila, Italy
Adrian Rutle Western Norway University of Applied Sciences, Norway
Eugene Syriani University of Montreal, Canada
Jesús Sánchez Cuadrado Universidad de Murcia, Spain
Vadim Zaytsev Universiteit Twente, The Netherlands