Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13349)
Included in the following conference series:
Conference proceedings info: ICGT 2022.
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About this book
The 10 full papers and 1 tool paper presented in this book were carefully reviewed and selected from 19 submissions. The conference focuses on describing new unpublished contributions in the theory and applications of graph transformation as well as tool presentation papers that demonstrate main new features and functionalities of graph-based tools.
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Keywords
- artificial intelligence
- computer programming
- computer science
- computer systems
- databases
- directed graphs
- distributed computer systems
- graph theory
- graph transformation
- graphic methods
- linguistics
- mathematical transformations
- mathematics
- object-oriented programming
- petri nets
- programming languages
- software architecture
- software design
- software engineering
- theoretical computer science
Table of contents (11 papers)
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Theoretical Advances
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Application Domains
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Tool Presentation
Other volumes
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Graph Transformation
Editors and Affiliations
Bibliographic Information
Book Title: Graph Transformation
Book Subtitle: 15th International Conference, ICGT 2022, Held as Part of STAF 2022, Nantes, France, July 7–8, 2022, Proceedings
Editors: Nicolas Behr, Daniel Strüber
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-09843-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-09842-0Published: 01 July 2022
eBook ISBN: 978-3-031-09843-7Published: 30 June 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 207
Number of Illustrations: 33 b/w illustrations, 52 illustrations in colour
Topics: Discrete Mathematics in Computer Science, Data Structures, Programming Techniques, Software Engineering, Programming Languages, Compilers, Interpreters, Algorithm Analysis and Problem Complexity