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Book "Graph Transformation for Software Engineers" appeared at Springer

The book on "Graph Transformation for Software Engineers" by Reiko Heckel, University of Leicester, and Gabriele Taentzer, Philipps-Universität Marburg appeared at Springer this spring. This is the first textbook that explains the most commonly used concepts, notations, techniques and applications of graph transformation without focusing on one particular mathematical representation or implementation approach. 

Graphs consist of nodes and connections; they are used to model various kinds of networks and structures such as molecule structures in chemistry, decision networks in the economy and computer networks. In software engineering, graph-based models are used to specify, for example, component structures, data structures and processes. Graph transformations specify graph changes such as chemical reactions and restructuring of software systems. Modelled transformations may be checked for interesting properties such as conflict and dependency analyses. 

The first part of the book presents the fundamentals in a precise, yet largely informal way. Besides serving as a prerequisite for describing the applications in the second part, it also provides a comprehensive and systematic survey of the concepts, notations and techniques of graph transformation. The second part presents and discusses a range of applications to both model-based software engineering and domain-specific language engineering. The variety of these applications demonstrate how broadly graphs and graph transformations can be used to model, analyse and implement complex software systems and languages.

Information to this book at Springer: https://www.springer.com/de/book/9783030439156

Further information to this book at: graph-transformation-for-software-engineers.org

Zuletzt aktualisiert: 18.06.2020 · taentzer

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