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Enterprise, Business-Process and Information Systems Modeling

Overview of attention for book
Cover of 'Enterprise, Business-Process and Information Systems Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 On the Fragmentation of Process Information: Challenges, Solutions, and Outlook
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    Chapter 2 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 3 Mining the Organisational Perspective in Agile Business Processes
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    Chapter 4 Changing the Focus of an Organization: From Information Systems to Process Aware Information Systems
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    Chapter 5 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 6 Scalable Process Discovery with Guarantees
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    Chapter 7 Multidimensional Process Mining Using Process Cubes
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    Chapter 8 Matching of Events and Activities - An Approach Using Declarative Modeling Constraints
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    Chapter 9 PQL - A Descriptive Language for Querying, Abstracting and Changing Process Models
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    Chapter 10 Enhancing Declarative Process Models with DMN Decision Logic
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    Chapter 11 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 12 Process Fragmentation: An Ontological Perspective
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    Chapter 13 Identifying and Quantifying Visual Layout Features of Business Process Models
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    Chapter 14 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 15 Modeling and Reasoning about Information Quality Requirements in Business Processes
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    Chapter 16 From Secure Business Process Models to Secure Artifact-Centric Specifications
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    Chapter 17 PROtEUS: An Integrated System for Process Execution in Cyber-Physical Systems
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    Chapter 18 Applying Predicate Abstraction to Abstract State Machines
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    Chapter 19 Implementation and First Evaluation of a Molecular Modeling Language
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    Chapter 20 Analyzing Variability of Cloned Artifacts: Formal Framework and Its Application to Requirements
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    Chapter 21 Solving Semantic Disparity and Explanation Problems in Regulatory Compliance- A Research-In-Progress Report with Design Science Research Perspective
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    Chapter 22 On the Support of Automated Analysis Chains on Enterprise Models
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    Chapter 23 Designing Software Ecosystems: How Can Modeling Techniques Help?
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    Chapter 24 Dealing with Information Quality Requirements
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    Chapter 25 Understanding Model Quality Concerns When Using Process Models in an Industrial Company
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    Chapter 26 Towards Metamodelling-In-The-Large: Interface-Based Composition for Modular Metamodel Development
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    Chapter 27 Towards Static Analysis of Executable DSMLs Using Model Typing
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    Chapter 28 Real-Time Design Patterns: Architectural Designs for Automatic Semi-Partitioned and Global Scheduling
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    Chapter 29 A Generic Traceability Framework for Model Composition Operation
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    Chapter 30 Applying Predicate Abstraction to Abstract State Machines
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    Chapter 31 A Workaround Design System for Anticipating, Designing, and/or Preventing Workarounds
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    Chapter 32 An Evaluation of an Enhanced Model Driven Approach for Computer Game Creation
Attention for Chapter 28: Real-Time Design Patterns: Architectural Designs for Automatic Semi-Partitioned and Global Scheduling
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Chapter title
Real-Time Design Patterns: Architectural Designs for Automatic Semi-Partitioned and Global Scheduling
Chapter number 28
Book title
Enterprise, Business-Process and Information Systems Modeling
Published by
Springer International Publishing, June 2015
DOI 10.1007/978-3-319-19237-6_28
Book ISBNs
978-3-31-919236-9, 978-3-31-919237-6
Authors

Amina Magdich, Yessine Hadj Kacem, Adel Mahfoudhi, Mickaël Kerboeuf, Mohamed Abid

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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 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 %
Professor > Associate Professor 1 33%
Lecturer 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%

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