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Graph Transformations and Model-Driven Engineering

Overview of attention for book
Cover of 'Graph Transformations and Model-Driven Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Graph Transformations and Model-Driven Engineering: The Merits of Manfred Nagl
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    Chapter 2 The Edge of Graph Transformation — Graphs for Behavioural Specification
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    Chapter 3 Graph Transformation by Computational Category Theory
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    Chapter 4 On GS-Monoidal Theories for Graphs with Nesting
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    Chapter 5 Stochastic Modelling and Simulation of Mobile Systems
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    Chapter 6 Autonomous Units and Their Semantics – The Concurrent Case
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    Chapter 7 Parallel Independence of Amalgamated Graph Transformations Applied to Model Transformation
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    Chapter 8 Extended Triple Graph Grammars with Efficient and Compatible Graph Translators
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    Chapter 9 Controlling Reuse in Pattern-Based Model-to-Model Transformations
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    Chapter 10 Lessons Learned from Building a Graph Transformation System
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    Chapter 11 Workflow-Driven Tool Integration Using Model Transformations
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    Chapter 12 The Architecture Description Language MoDeL
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    Chapter 13 Towards Managing Software Architectures with Ontologies
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    Chapter 14 Using Role-Play Diagrams to Improve Scenario Role-Play
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    Chapter 15 Reverse Engineering Using Graph Queries
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    Chapter 16 Graph-Based Structural Analysis for Telecommunication Systems
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    Chapter 17 Do We Really Know How to Support Processes? Considerations and Reconstruction
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    Chapter 18 A Meta-Method for Defining Software Engineering Methods
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    Chapter 19 Techniques for Merging Views of Software Processes
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    Chapter 20 Graph Transformations and Model-Driven Engineering
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    Chapter 21 Architectural Issues of Adaptive Pervasive Systems
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    Chapter 22 Using Graph Grammars for Modeling Wiring Harnesses – An Experience Report
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    Chapter 23 Model-Driven Development with Mechatronic UML
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    Chapter 24 Model Synchronization at Work: Keeping SysML and AUTOSAR Models Consistent
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    Chapter 25 Multi-view Modeling to Support Embedded Systems Engineering in SysML
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    Chapter 26 Requirements Engineering in Complex Domains
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    Chapter 27 Tool Support for Dynamic Development Processes
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    Chapter 28 An Extensible Modeling Language for the Representation of Work Processes in the Chemical and Process Industries
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    Chapter 29 Integration Tools for Consistency Management between Design Documents in Development Processes
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    Chapter 30 Towards Semantic Navigation in Mobile Robotics
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    Chapter 31 Model Driven Engineering in Operative Industrial Process Control Environments
Attention for Chapter 26: Requirements Engineering in Complex Domains
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Chapter title
Requirements Engineering in Complex Domains
Chapter number 26
Book title
Graph Transformations and Model-Driven Engineering
Published in
Lecture notes in computer science, January 2010
DOI 10.1007/978-3-642-17322-6_26
Book ISBNs
978-3-64-217321-9, 978-3-64-217322-6
Authors

Matthias Jarke, Ralf Klamma, Klaus Pohl, Ernst Sikora

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
Indonesia 1 3%
Canada 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Master 5 16%
Researcher 4 13%
Lecturer 3 10%
Student > Doctoral Student 3 10%
Other 5 16%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 21 68%
Engineering 2 6%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2021.
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#18,439,846
of 22,846,662 outputs
Outputs from Lecture notes in computer science
#6,012
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Outputs of similar age
#150,492
of 164,056 outputs
Outputs of similar age from Lecture notes in computer science
#136
of 188 outputs
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We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.