The sheer complexity of software systems nowadays made modeling artifacts pervasive throughout the development process, be use requirements, analysis, design, or development. Whether models are used for communication or prescriptive purposes, their syntax and pragmatics afect the usability and represent contributory factors concerning the accidental complexity. The diversity of modeling notations and approaches permit to classify them according to diferent taxonomies. General-purpose and domain-specific modeling languages can be created with diferent intended scopes, although all of them can make use of graphical, textual, maps, matrices, 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.
(M. Chaudron)
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 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.
Paolo Bottoni Federico Ciccozzi Benoit Combemale Juan De Lara Juri Di Rocco Davide Di Ruscio Jef Gray Ludovico Iovino Dimitris Kovolos Sebastien Mosser Richard Paige Matthias Tichy Hans Vangheluwe Manuel Wimmer
University of L’Aquila, Italy Metacase, Finland 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 efort 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 afects 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.
Önder Babur Francesco Basciani Loli Burgueño Loek Cleophas Thomas Degueule Romina Eramo Mirco Franzago Antonio Garcia-Dominguez Johannes Härtel Ludovico Iovino Ralf Lämmel Alfonso Pierantonio Adrian Rutle Eugene Syriani Jesús Sánchez Cuadrado Vadim Zaytsev Research center of the Open University of Catalonia, Spain Universidad de Murcia, Spain University of L’Aquila, Italy CTO of MetaCase, Finland