posted by user: hossein_haeri || 4805 views || tracked by 7 users: [display]

ICMT 2014 : 7th International Conference on Model Transformation

FacebookTwitterLinkedInGoogle


Conference Series : International Conference on Model Transformation
 
Link: http://www.model-transformation.org/
 
When Jul 21, 2014 - Jul 25, 2014
Where York (UK)
Abstract Registration Due Jan 28, 2014
Submission Deadline Feb 4, 2014
Notification Due Mar 11, 2014
Final Version Due Apr 4, 2014
Categories    transformation paradigms   transformation languages   transformation algorithms   transformation strategies
 

Call For Papers

ICMT 2014
7th International Conference on Model Transformation, July 21-25 2014, York (UK)

Call for Papers

Modeling is a key element in reducing the complexity of software systems during their development and maintenance. Model transformations are essential for elevating models from documentation elements to first-class artifacts of the development process. Transformations also play a key role in analyzing models to reveal conceptual flaws or highlight quality bottlenecks and in integrating heterogeneous tools into unified tool chains.

Model transformation includes approaches such as: model-to-text transformation, e.g., to generate code or other textual artifacts from models; text-to-model transformations, e.g., to derive models from structured text such as legacy code; and model-to-model transformations, e.g., to normalize, weave, analyze, optimize, simulate, and refactor models, as well as to translate between modeling languages.

Model transformation encompasses a variety of technical spaces, including modelware, grammarware, dataware, and ontoware, a variety of model representations, e.g., based on different types of graphs, and a variety of transformation paradigms including rule-based transformations, term rewriting, and manipulations of objects in general-purpose programming languages.

The study of model transformation includes foundations, structuring mechanisms, and properties, such as modularity, composability, and parameterization of transformations, transformation languages, techniques, and tools. An important goal of the field is the development of high-level model transformation languages, providing transformations that are amenable to higher-order model transformations or tailored to specific transformation problems.

The efficient execution of model queries and transformations by scalable transformation engines on top of large graph data structures is also a key challenge in different application scenarios. Novel algorithms as well as innovative (e.g. distributed) execution strategies and domain-specific optimizations are sought in this respect.

To achieve impact on software engineering in general, methodologies and tools are required to integrate model transformation into existing development environments and processes. ICMT is the premier forum for researchers and practitioners from all areas of model transformation.

Topics of interest include, but are not limited to:

Transformation paradigms and languages:
graph rewriting, tree rewriting, attribute grammars
rule-based, declarative, imperative, and functional
textual, graphical
model queries, pattern matching
transformation by example/demonstration
modularity, reusability, and composition
comparison of transformation languages
theoretical foundations

Transformation algorithms and strategies:
bidirectional transformation
incremental transformation
scalability and optimization
termination and confluence
higher-order transformation
transformation chains
non-functional aspects of transformations

Development of transformations:
specification, verification, and validation
verification and validation
(incl. testing, debugging, termination, confluence, metrics)
evolution
development processes
tool support
benchmarking of transformation engines

Applications and case studies:
refactoring
aspect weaving
model comparison, differencing, and merging
model synchronization and change propagation
co-evolution of models, metamodels, and transformations
round-trip/reverse/forward engineering
industrial experience reports
empirical studies

Two kinds of submissions are sought:
Research papers: Up to 15 pages long.
Tool demonstration papers: Up to 7 pages long.

Tool demonstration papers should describe novel and state-of-the-art tools, related to model transformation. Submissions should consist of two parts. The first part, no more than 7 pages, should describe the tool presented (please include the URL of the tool if available). This part will be included in the proceedings. The second part, no more than 5 pages, should explain how the demonstration will be carried out, including screen dumps and examples. This part will not be included in the proceedings, but will be evaluated.

For more information, please refer to the submission & publishing information!

OrganizationPC Co-Chairs: Davide Di Ruscio, Università degli Studi dell’Aquila (Italy)
Dániel Varró, Budapest University of Technology and Economics (Hungary)
Web Chair: Philip Langer, Vienna University of Technology (Austria)

Steering Committee
Jean Bézivin, Industry Consultant on Software Modeling (France)
Jordi Cabot, INRIA research group at École des Mines de Nantes (France)
Martin Gogolla, University of Bremen (Germany)
Jeff Gray, University of Alabama (USA)
Zhenjiang Hu, National Institute of Informatics (Japan)
Juan de Lara, Universidad Autónoma de Madrid (Spain)
Richard Paige, University of York (UK)
Alfonso Pierantonio (Chair), University of L’Aquila (Italy)
Laurence Tratt, King’s College London (UK)
Antonio Vallecillo, University of Málaga (Spain)
Eelco Visser, Delft University of Technology (The Netherlands)
Programme Committee
Achim Brucker, SAP AG (Germany)
Jordi Cabot, INRIA-École des Mines de Nantes (France)
Antonio Cicchetti, Mälardalen University (Sweden)
Tony Clark, Middlesex University (UK)
Benoit Combemale, IRISA, Université de Rennes 1 (France)
Jesús Sánchez Cuadrado, Universidad Autónoma de Madrid (Spain)
Krzysztof Czarnecki, University of Waterloo (Canada)
Gregor Engels, University of Paderborn (Germany)
Holger Giese, Hasso Plattner Institute at the University of Potsdam (Germany)
Martin Gogolla, University of Bremen (Germany)
Jeff Gray, University of Alabama (USA)
Reiko Heckel, University of Leicester (UK)
Zhenjiang Hu, National Institute of Informatics (Japan)
Ludovico Iovino, University of L’Aquila (Italy)
Gerti Kappel, Vienna University of Technology (Austria)
Dimitris Kolovos, University of York (UK)
Thomas Kühne, Victoria University of Wellington (New Zealand)
Jochen Küster, IBM Research Zurich (Switzerland)
Ralf Lämmel, Universität Koblenz-Landau (Germany)
Juan De Lara, Universidad Autonoma de Madrid (Spain)
Tihamer Levendovszky, Vanderbilt University (USA)
Jesus Garcia-Molina, Universidad de Murcia (Spain)
Richard Paige, University of York (UK)
Dorina Petriu, Carleton University (Canada)
Marc Pantel, Université de Toulouse (France)
Alfonso Pierantonio, University of L’Aquila (Italy)
Istvan Rath, University of Technology and Economics (Hungary)
Bernhard Rumpe, RWTH Aachen University (Germany)
Houari Sahraoui, Université De Montréal (Canada)
Andy Schürr, TU Darmstadt (Germany)
Jim Steel, University of Queensland (Australia)
Perdita Stevens, University of Edinburgh (UK)
Markus Stumptner, University of South Australia (Australia)
Eugene Syriani, University of Alabama (USA)
Gabriele Taentzer, Philipps-Universität Marburg (Germany)
Massimo Tisi, INRIA-École des Mines de Nantes (France)
Laurence Tratt, King’s College London (UK)
Antonio Vallecillo, Universidad de Málaga (Spain)
Mark Van Den Brand, Eindhoven University of Technology (The Netherlands)
Pieter Van Gorp, Eindhoven University of Technology (The Netherlands)
Hans Vangheluwe, University of Antwerp (Belgium) and McGill University (Canada)
Gergely Varro, Technische Universität Darmstadt (Germany)
Janis Voigtländer, University of Bonn (Germany)
Edward Willink, Willink Transformations Ltd. (UK)
Manuel Wimmer, Vienna University of Technology (Austria)
Haiyan Zhao, Peking University (China)

Related Resources

LOPSTR 2024   LOPSTR 2024 -- Preliminary Call for Papers
Call For Papers Special Issue 2024   Smart Cities, innovating in the Transformation of Urban Environments
MODELSWARD 2024   12th International Conference on Model-Based Software and Systems Engineering
MoStart 2024   International Conference on Digital Transformation in Education and Artificial Intelligence Applications
SMM4H 2024   The 9th Social Media Mining for Health Research and Applications Workshop and Shared Tasks — Large Language Models (LLMs) and Generalizability for Social Media NLP
MODELS 2024   MODELS 2024 : ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
ICMT 2024   2024 8th International Conference on Manufacturing Technologies (ICMT 2024)
NiDS 2024   International Conference on Novel and Intelligent Digital Systems
I3E 2024   23rd IFIP Conference e-Business, e-Services, and e-Society
JRMV 2024   The Journal of Risk Model Validation Call for Papers