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System Analysis and Modeling. Languages, Methods, and Tools for Industry 4.0

Overview of attention for book
Cover of 'System Analysis and Modeling. Languages, Methods, and Tools for Industry 4.0'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Generating Test Suites to Validate Legacy Systems
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    Chapter 2 Deriving Distributed Design Models from Global State Machines Requirements
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    Chapter 3 Generic Graphical Navigation for Modelling Tools
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    Chapter 4 Protocol Syntax Development Using Domain Specific Modeling Languages
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    Chapter 5 Use of a Pivot Diagram in SysML to Support an Automated Implementation of a MBSE Design Methodology in an Industry 4.0 Context
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    Chapter 6 Modeling and Code Generation Framework for IoT
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    Chapter 7 Process Enactment with Traceability Support for NFV Systems
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    Chapter 8 On the Structure of Avionics Systems Architecture
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    Chapter 9 Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions
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    Chapter 10 Towards a Representation of Cellular Automaton Using Specification and Description Language
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    Chapter 11 Goal Model Integration: Advanced Relationships and Rationales Documentation
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    Chapter 12 Union Models: Support for Efficient Reasoning About Model Families Over Space and Time
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    Chapter 13 Facilitating the Co-evolution of Standards and Models
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    Chapter 14 Adapting Integrity Checking Techniques for Concurrent Operation Executions
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    Chapter 15 Eventual Consistency Formalized
Attention for Chapter 1: Generating Test Suites to Validate Legacy Systems
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Citations

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Chapter title
Generating Test Suites to Validate Legacy Systems
Chapter number 1
Book title
System Analysis and Modeling. Languages, Methods, and Tools for Industry 4.0
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-30690-8_1
Book ISBNs
978-3-03-030689-2, 978-3-03-030690-8
Authors

Thomas Weigert, Alexander Kolchin, Stepan Potiyenko, Oleg Gurenko, Aswin van den Berg, Valentyn Banas, Roman Chetvertak, Roman Yagodka, Vlad Volkov

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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