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Enterprise, Business-Process and Information Systems Modeling

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Cover of 'Enterprise, Business-Process and Information Systems Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 2 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 3 Blending BPMS with Social Software for Knowledge-Intense Work: Research Issues
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    Chapter 4 Context-Aware Agile Business Process Engine: Foundations and Architecture
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    Chapter 5 Business Process Workarounds: What Can and Cannot Be Detected by Process Mining
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    Chapter 6 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 7 A Methodological Framework with Lessons Learned for Introducing Business Process Management
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    Chapter 8 Repairing Business Process Models as Retrieved from Source Code
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    Chapter 9 Bridging Abstraction Layers in Process Mining: Event to Activity Mapping
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    Chapter 10 Improving Business Process Models with Agent-Based Simulation and Process Mining
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    Chapter 11 Towards a Framework for Modeling Business Compensation Processes
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    Chapter 12 An Effort Prediction Model Based on BPM Measures for Process Automation
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    Chapter 13 On the Use of Goal Models and Business Process Models for Elicitation of System Requirements
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    Chapter 14 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 15 Multi-perspective Business Process Monitoring
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    Chapter 16 Corrective Evolution of Adaptable Process Models
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    Chapter 17 Demonstrating the Effectiveness of Process Improvement Patterns
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    Chapter 18 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 19 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 20 Synthesizing a Library of Process Templates through Partial-Order Planning Algorithms
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    Chapter 21 Spotting Terminology Deficiencies in Process Model Repositories
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    Chapter 22 Modeling of Reference Schemes
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    Chapter 23 Visually Capturing Usage Context in BPMN by Small Adaptations of Diagram Notation
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    Chapter 24 Capturing Decision Making Strategies in Enterprise Architecture – A Viewpoint
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    Chapter 25 Constructing Domain Knowledge through Cross Product Line Analysis
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    Chapter 26 Incremental Method Enactment for Computer Aided Software Engineering Tools
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    Chapter 27 Gamification to Support the Run Time Planning Process in Adaptive Case Management
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    Chapter 28 A Semiotic Approach to Data Quality
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    Chapter 29 Feedback-Enabled MDA-Prototyping Effects on Modeling Knowledge
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    Chapter 30 A Rigorous Reasoning about Model Transformations Using the B Method
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    Chapter 31 Managing Run-Time Variability in Robotics Software by Modeling Functional and Non-functional Behavior
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    Chapter 32 The World Out There: From Systems Modelling to Enterprise Modelling
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    Chapter 33 Process Mining Versus Intention Mining
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Title
Enterprise, Business-Process and Information Systems Modeling
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-38484-4
ISBNs
978-3-64-238483-7, 978-3-64-238484-4
Authors

Selmin Nurcan, Henderik A. Proper, Pnina Soffer, John Krogstie, Rainer Schmidt, Terry Halpin, Ilia Bider, Nurcan, Selmin, Proper, Henderik A, Soffer, Pnina, Krogstie, John, Schmidt, Rainer, Halpin, Terry, Bider, Ilia

Editors

Nurcan, Selmin, Proper, Henderik A., Soffer, Pnina, Krogstie, John, Schmidt, Rainer, Halpin, Terry, Bider, Ilia

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 9%
Brazil 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 55%
Student > Bachelor 4 36%
Student > Master 4 36%
Student > Doctoral Student 1 9%
Student > Postgraduate 1 9%
Other 2 18%
Readers by discipline Count As %
Computer Science 10 91%
Business, Management and Accounting 4 36%
Unspecified 1 9%
Agricultural and Biological Sciences 1 9%
Economics, Econometrics and Finance 1 9%
Other 1 9%