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13th International Conference on Graph Transformation
ICGT 2020
https://staf2020.hvl.no/events/icgt2020/
co-located with STAF 2020, June 22-26 Bergen, Norway
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Aims and Scope
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The use of graphs and graph-like structures as a formalism for
specification and modelling is widespread in all areas of computer
science as well as in many fields of computational research and
engineering. Relevant examples include software architectures, pointer
structures, state space graphs, control/data flow graphs, UML and other
domain-specific models, network layouts, topologies of cyber-physical
environments, and molecular structures. Often, these graphs undergo
dynamic change, ranging from reconfiguration and evolution to various
kinds of behaviour, all of which may be captured by rule-based graph
manipulation. Thus, graphs and graph transformation form a fundamental
universal modelling paradigm that serves as a means for formal reasoning
and analysis, ranging from the verification of certain properties of
interest to the discovery of fundamentally new insights.
The International Conference on Graph Transformation aims at fostering
exchange and collaboration of researchers from different backgrounds
working with graphs and graph transformation, either in contributing to
their theoretical foundations or by applying established formalisms to
classical or novel areas. The conference not only serves as a
well-established scientific publication outlet, but also as a platform
to boost inter- and intra-disciplinary research and to leeway for new ideas.
The 13th International Conference on Graph Transformation (ICGT 2020)
will be held in Bergen, Norway, as part of STAF 2020 (Software
Technologies: Applications and Foundations). The conference takes place
under the auspices of EATCS and IFIP WG 1.3. Proceedings will be
published by Springer in the Lecture Notes in Computer Science (LNCS)
series.
Topics of Interest
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In order to foster a lively exchange of perspectives on the subject of
the conference, the programme committee of ICGT 2020 encourages all
kinds of contributions related to graphs and graph transformation,
either from a theoretical point of view or a practical one.
Topics of interest include, but are not limited to the following subjects:
- General models of graph transformation (e.g. adhesive categories and
hyperedge replacement systems)
- Analysis and verification of graph transformation systems
- Graph theoretical properties of graph languages
- Automata on graphs and parsing of graph languages
- Logical aspects of graph transformation
- Computational models based on graphs
- Structuring and modularization of graph transformation
- Hierarchical graphs and decomposition of graphs
- Parallel, concurrent, and distributed graph transformation
- Term graph and string diagram rewriting
- Petri nets and other models of concurrency
- Business process models and notations
- Bigraphs and bigraphical reactive systems
- Graph databases and graph queries
- Model-driven development and model transformation
- Model checking, program analysis and verification, simulation and
animation
- Syntax, semantics and implementation of programming languages,
including domain-specific and visual languages
- Graph transformation languages and tool support
- Efficient algorithms (e.g. pattern matching, graph traversal, network
analysis)
- Applications and case studies in software engineering (e.g. software
architectures, refactoring, access control, and service-orientation)
- Applications to computing paradigms (e.g. bio-inspired, quantum,
ubiquitous, and visual)
Important Dates (Tentative)
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Abstract submission: February 21, 2020
Paper submission: February 28, 2020
Notification: April 10, 2020
Camera-ready: May 01, 2020
Conference: June 22-26, 2020
Submission Guidelines
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Papers can be submitted at
http://www.easychair.org/conferences/?conf=icgt2020 using Springer's
LNCS format (http://www.springer.com/lncs). For regular and tool
demonstration papers, simultaneous submission to other conferences with
proceedings or submission of material that has already been published
elsewhere is not allowed. The page limits are strict and include references.
Papers are solicited in three categories:
- Regular papers (limited to 16 pages in Springer LNCS format)
describe innovative contributions and are evaluated with respect to
their originality, significance, and technical soundness. We also
solicit case studies describing applications of graph transformation in
any application domain. Additional material intended for reviewers but
not for publication in the final version may be included in a clearly
marked appendix.
- Tool presentation papers (limited to 8 pages in Springer LNCS format)
demonstrate the main features and functionality of graph-based tools. A
tool presentation paper may have an appendix with a detailed demo
description (up to 4 pages), which will be reviewed but not included in
the proceedings.
- New ideas papers (limited to 2 pages in Springer LNCS format)
report on relevant contributions to the theory or applications of graph
transformation, which may have been published (or accepted for
publication) in a peer-reviewed conference other than ICGT, as a book
chapter or journal article since 2018. Papers in this category will be
selected for presentation at the conference according to their relevance
to the graph transformation community, and they will be considered for
the special issues. Submissions will consist of a 2-page abstract. In
case of extended abstracts of published papers, the submission must
refer to the published paper and include the original paper in PDF.
Special Issues
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We are pleased to confirm two special issues for ICGT2020, devoted to
the theoretical and application-oriented sides of the conference,
respectively. The former is going to appear in Theoretical Computer
Science
(https://www.journals.elsevier.com/theoretical-computer-science), the
latter has been proposed as special issue in Science of Computer
Programming
(https://www.journals.elsevier.com/science-of-computer-programming).
Program chairs
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- Fabio Gadducci (University of Pisa, Italy)
- Timo Kehrer (Humboldt-Universität zu Berlin, Germany)
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