Inhalt

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   Abstract
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   Contents
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   List of Figures
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   List of Tables
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   List of Listings
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   List of Acronyms
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   I Research Overview
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  1 Introduction
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   1.1 Motivation
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   1.2 Problem Statement
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   1.3 Outline
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  2 Research Design
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   2.1 Design Science Research
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   2.2 Particularities of Usability Evaluation
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  3 Cross-Platform App Development
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   3.1 Foundations on Cross-Platform App Development
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  3.2 Categorising App-Enabled Devices
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   3.2.1 Status Quo of App-Enabled Devices
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   3.2.2 Taxonomy of App-Enabled Devices
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   3.3 Challenges of Cross-Platform Apps Across Device Classes
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  3.4 Evaluating Cross-Platform App Development Approaches
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   3.4.1 Criteria Catalogue for Cross-Platform Development Frameworks
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   3.4.2 Assessment of Criteria Using Weight Profiles
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   3.5 Discussion
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   3.6 Contributions to the Field of Research
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  4 Model-Driven Mobile Development
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  4.1 Foundations on Model-Driven Mobile Development
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   4.1.1 Model-Driven Software Development
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   4.1.2 Model-Driven Business Apps
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   4.1.3 Process Modelling Notations
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  4.2 MD2
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   4.2.1 Language Overview
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   4.2.2 Revised Reference Architecture for Business Apps
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   4.3 MAML
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   4.3.1 Language Overview
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   4.3.2 Data Model Inference
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   4.3.3 Identifying Modelling Inconsistencies
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   4.3.4 Model-to-Code Transformation
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   4.3.5 Usability Evaluation
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   4.3.6 Interoperability of MAML and BPMN
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  4.4 Model-Driven App Development Across Device Classes
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   4.4.1 Model-Driven Process for Pluri-Platform App Development
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   4.4.2 Usability Evaluation for Pluri-Platform Development
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   4.5 Discussion
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   4.6 Contributions to the Field of Research
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  5 DSL Design
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   5.1 Foundations on DSL Design
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  5.2 Modularisation of Xtext-Based DSLs
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   5.2.1 Foundations of Language Modularisation
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   5.2.2 Case Study on MD2
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   5.2.3 Recommendations on Modularising Xtext-based DSLs
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  5.3 Musket: A DSL for High-Performance Computing
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   5.3.1 Foundations on Algorithmic Skeletons for High-Performance Computing
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   5.3.2 The Musket DSL
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   5.3.3 DSL Preprocessing for Performance Optimisation
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  5.4 TAL: A DSL for Configurable Traceability Analysis
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   5.4.1 Foundations on Software Traceability
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   5.4.2 The TAL DSL
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   5.5 Discussion
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   5.6 Contributions to the Field of Research
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  6 Conclusion
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   6.1 Summary
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   6.2 Contributions
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   6.3 Discussion and Limitations
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   6.4 Future Work
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   References
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   II Included Publications
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   7 Towards the Definitive Evaluation Framework for Cross-Platform App Development Approaches
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   7.1 Introduction
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  7.2 Related Work
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   7.2.1 Cross-Platform Frameworks
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   7.2.2 Novel App-Enabled Devices
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   7.3 Criteria Catalogue
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   7.3.1 Fundamental Considerations and Structure
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   7.3.2 Infrastructure Perspective
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   7.3.3 Development Perspective
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   7.3.4 App Perspective
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   7.3.5 Usage Perspective
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  7.4 Weight Profiles
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   7.4.1 Rationale
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   7.4.2 Application
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   7.4.3 Example Profiles
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   7.5 Evaluation Study
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   7.5.1 Method
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   7.5.2 (Progressive) Web Apps
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   7.5.3 PhoneGap
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   7.5.4 React Native
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   7.5.5 Native Apps
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   7.5.6 Intermediate Conclusions
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  7.6 Discussion
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   7.6.1 Assessment
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   7.6.2 Ongoing Demand for Research
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   7.6.3 Limitations
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   7.6.4 Future Work
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   7.7 Conclusion
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   References
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   8 Generation of High-Performance Code Based on a Domain-Specific Language for Algorithmic Skeletons
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   8.1 Introduction
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   8.2 Related Work
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  8.3 A Domain-Specific Language for High-Level Parallel Programming
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   8.3.1 Benefits of Generating High-Performance Code
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   8.3.2 Language Overview
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   8.4 Code Generation for Multi-Core Clusters
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   8.4.1 Data Structures
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   8.4.2 Model Transformation
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   8.4.3 Custom Reduction
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   8.4.4 User Functions
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   8.4.5 Specific Musket Functions
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   8.4.6 Build Files
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   8.5 Benchmarks
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   8.5.1 Frobenius Norm
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   8.5.2 Nbody Simulation
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   8.5.3 Matrix Multiplication
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   8.5.4 Fish School Search
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   8.6 Conclusions and Future Work
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   References
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   9 A Process-Oriented Modeling Approach for Graphical Development of Mobile Business Apps
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   9.1 Introduction
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   9.2 Related work
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  9.3 MAML Framework
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   9.3.1 Language Design Principles
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   9.3.2 Language Overview
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   9.3.3 Data-Model Inference
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   9.3.4 Modeling support
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   9.3.5 App generation
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   9.4 Evaluation and Discussion
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   9.5 Conclusion and Outlook
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   References
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   10 Towards Pluri-Platform Development
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   10.1 Introduction
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   10.2 Related Work
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   10.3 Münster App Modeling Language
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   10.3.1 Language Design Principles
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   10.3.2 Language Overview
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   10.3.3 App Modelling
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   10.3.4 App Generation
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  10.4 Evaluation
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   10.4.1 Study Setup
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   10.4.2 Comprehensibility Results
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   10.4.3 Usability Results
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  10.5 Towards Pluri-Platform Development
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   10.5.1 Challenges
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   10.5.2 Towards Pluri-Platform Development
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   10.5.3 Applicability of Existing Cross-Platform Approaches for Pluri-Platform Development
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   10.5.4 Evaluation of MAML in a Pluri-Platform Context
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   10.6 Discussion
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   10.7 Conclusion
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   References
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   11 Musket: A Domain-Specific Language for High-Level Parallel Programming with Algorithmic Skeletons
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   11.1 Introduction
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   11.2 Foundations
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   11.3 Related Work
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  11.4 Musket DSL
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   11.4.1 Language Structure
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   11.4.2 Benefits of Generating High-Performance Code
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   11.5 Model Transformation
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   11.5.1 Map Fusion
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   11.5.2 Skeleton Fusion
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   11.5.3 User Function Transformation
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   11.5.4 Automated Data Distribution
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  11.6 Evaluation and Discussion
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   11.6.1 Optimizations
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   11.6.2 Frobenius Norm
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   11.6.3 Fish School Search (FSS)
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   11.6.4 Modelling Support
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   11.7 Conclusion and Outlook
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   References
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   12 A Model-Driven Cross-Platform App Development Process for Heterogeneous Device Classes
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   12.1 Introduction
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  12.2 Cross-platform app development
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   12.2.1 Challenges
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   12.2.2 Adequacy of Existing Approaches
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   12.3 A Process Model for App Development Across Device Classes
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  12.4 Realizing Cross Device Class Apps
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   12.4.1 The MAML Framework
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   12.4.2 Business Apps for Smartphone and Smartwatch with MAML
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   12.5 Evaluation
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   12.6 Discussion
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   12.7 Related Work
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   12.8 Conclusion and Outlook
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   References
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   13 Generation of High-Performance Code Based on a Domain-Specific Language for Algorithmic Skeletons
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   13.1 Introduction
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   13.2 Related Work
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  13.3 A Domain-Specific Language for High-Level Parallel Programming
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   13.3.1 Benefits of Generating High-Performance Code
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   13.3.2 Language Overview
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  13.4 Code Generation for Multi-Core Clusters
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   13.4.1 Data Structures
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   13.4.2 Model Transformation
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   13.4.3 Custom Reduction
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   13.4.4 User Functions
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   13.4.5 Specific Musket Functions
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   13.4.6 Build Files
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   13.5 Benchmarks
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   13.5.1 Frobenius Norm
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   13.5.2 Nbody Simulation
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   13.5.3 Matrix Multiplication
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   13.5.4 Fish School Search
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   13.6 Conclusions and Future Work
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   References
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   14 Towards Model-Driven Business Apps for Wearables
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   14.1 Introduction
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   14.2 Related Work
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  14.3 Creating Business App UIs for Wearable Devices
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   14.3.1 Challenges of Wearable UIs
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   14.3.2 Conceptual UI Mapping
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   14.3.3 Modelling Apps Across Device Classes
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   14.4 Discussion
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   14.5 Conclusion and Outlook
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   References
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   15 A Taxonomy for App-Enabled Devices: Mastering the Mobile Device Jungle
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   15.1 Introduction
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   15.2 Related Work
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   15.3 Taxonomy of App-Enabled Devices
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   15.3.1 Basic Considerations
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   15.3.2 Dimensions of the Taxonomy
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   15.3.3 Categorizing the Device Landscape
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  15.4 Discussion
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   15.4.1 Alternative Categorization Schemes
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   15.4.2 Further Development
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   15.5 Conclusion and Outlook
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   References
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   16 Interoperability of BPMN and MAML for Model-Driven Development of Business Apps
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   16.1 Introduction
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   16.2 Related work
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  16.3 Business Process Notations for Mobile App Development
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   16.3.1 Business Process Model and Notation (BPMN)
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   16.3.2 Muenster App Modeling Language (MAML)
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  16.4 Comparison of Workflow Patterns in MAML and BPMN
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   16.4.1 Control-flow Patterns
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   16.4.2 Data Patterns
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   16.4.3 Resource Patterns
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  16.5 Model-to-Model Transformation
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   16.5.1 Mapping of Equivalent Language Constructs
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   16.5.2 Mapping of Related Language Constructs
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   16.5.3 Unmapped Language Constructs
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   16.6 Discussion
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   16.7 Conclusion and Outlook
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   References
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   17 Challenges and Opportunities of Modularizing Textual Domain-Specific Languages
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   17.1 Introduction
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   17.2 Related Work
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   17.3 DSL Modularization Concepts
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  17.4 Modularization in Xtext
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   17.4.1 Modularization Concepts in Xtext
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   17.4.2 Case Study on MD2
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   17.4.3 Modularizing MD2
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   17.4.4 Advantages and Disadvantages of Modularization
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   17.5 Discussion
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   17.6 Conclusion and Outlook
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   References
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   18 Evaluating a Graphical Model-Driven Approach to Codeless Business App Development
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   18.1 Introduction
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   18.2 Related Work
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  18.3 Münster App Modeling Language
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   18.3.1 Language Design Principles
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   18.3.2 Language Overview
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   18.3.3 App Modelling
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   18.3.4 App Generation
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  18.4 Evaluation
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   18.4.1 Study Setup
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   18.4.2 Comprehensibility Results
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   18.4.3 Usability Results
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   18.5 Discussion
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   18.6 Conclusion
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   References
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   19 A Model-Driven Approach for Evaluating Traceability Information
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   19.1 Introduction
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   19.2 Related Work
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  19.3 An Integrated Traceability Analysis Language
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   19.3.1 Scenarios for Traceability Analyses
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   19.3.2 Composition of the Traceability Analysis Language
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  19.4 Discussion
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   19.4.1 Eclipse Integration and Performance
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   19.4.2 Applying the Analysis Language
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   19.4.3 Limitations
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   19.5 Conclusion
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   References
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   20 A Domain-specific Language for Configurable Traceability Analysis
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   20.1 Introduction
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   20.2 Related Work
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  20.3 Defining and Integrating the Domain-Specific Language
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   20.3.1 Composition of Modeling Layers
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   20.3.2 Querying the Traceability Information Model
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   20.3.3 Defining Individual Metrics
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   20.3.4 Evaluating Metrics
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   20.4 Discussion
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   20.5 Conclusion
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   References
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   21 Conquering the Mobile Device Jungle: Towards a Taxonomy for App-Enabled Devices
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   21.1 Introduction
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   21.2 Related Work
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  21.3 Taxonomy of App-Enabled Devices
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   21.3.1 Dimensions of the Taxonomy
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   21.3.2 Categorizing the Device Landscape
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   21.4 Discussion
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   21.4.1 Alternative Categorization Schemes
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   21.4.2 Further Development
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   21.5 Conclusion and Outlook
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   References
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   22 Business Apps with MAML
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   22.1 Introduction
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   22.2 Related Work
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  22.3 MAML Framework
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   22.3.1 Language Design Principles
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   22.3.2 Language Overview
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   22.3.3 Data-Model Inference
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   22.3.4 Modeling Support
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   22.3.5 App Generation
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   22.4 Evaluation and Discussion
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   22.5 Conclusion
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   References
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   23 Weighted Evaluation Framework for Cross-Platform App Development Approaches
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   23.1 Introduction
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   23.2 Related Work
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   23.3 Background
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  23.4 Criteria
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   23.4.1 General Considerations
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   23.4.2 Infrastructure Perspective
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   23.4.3 Development Perspective
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   23.4.4 App Perspective
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   23.4.5 Usage Perspective
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  23.5 Evaluation
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   23.5.1 Weight Profiles
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   23.5.2 Web Apps
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   23.5.3 PhoneGap
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   23.5.4 Native Apps
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   23.6 Discussion
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   23.7 Conclusion
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   References
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   24 Refining a Reference Architecture for Model-Driven Business Apps
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   24.1 Motivation
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   24.2 Related Work
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   24.2.1 Business Apps and App Development
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   24.2.2 Creating Business Apps with MD2
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   24.2.3 Reference Architectures
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   24.3 Evaluation of a Reference Architecture for Model-Driven Business Apps
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  24.4 Revising the Reference Architecture
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   24.4.1 Reference Architecture Structure
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   24.4.2 Platform-Specific Implementation Variability
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   24.4.3 Reference Architecture Interactions
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   24.5 Discussion and Outlook
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   24.6 Conclusion
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   References
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   25 How Cross-Platform Technology Can Facilitate Easier Creation of Business Apps
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   25.1 Introduction
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  25.2 Status Quo of Cross-Platform App Development
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   25.2.1 On the Economic Value of App Development
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   25.2.2 A Brief History of App Development
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   25.2.3 General Approaches Towards Cross-Platform Development
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   25.2.4 Overview of Current Frameworks and Tools
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   25.3 Related Work
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   25.4 Current Contributions to Business App Development
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   25.4.1 Understanding the Current State of Cross-Platform Utilization
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   25.4.2 MD2 as a Contemporary Generative Approach
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   25.5 Paving the Road to Future Cross-Platform Business App Development
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   25.5.2 Improving Domain-Orientation
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   25.5.1 Required Technological Work
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   25.5.3 Sketching the Future
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   25.5.4 Possible Merits and Positive Accessory Phenomena
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   25.5.5 Challenges, Obstacles, and Possibly Negative Ramifications
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   25.5.6 Remaining Issues
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  25.6 Discussion
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   25.6.1 Scenarios
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   25.6.2 Outlook and Open Questions
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   25.6.3 Limitations
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   25.6.4 Future Work
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   25.7 Conclusion
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   References
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   26 A Data Model Inference Algorithm for Schemaless Process Modeling
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   26.1 Introduction
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   26.2 Related Work
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   26.3 Münster App Modeling Language
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  26.4 Data Model Inference Algorithm
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   26.4.1 Partial Data Model Inference
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   26.4.2 Merging Partial Data Models
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   26.4.3 Consolidation and Error Identification
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   26.5 Conclusion and Outlook
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   References