
Enterprise, Business-Process and Information Systems Modeling
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Content
- Intro
- Preface
- EMMSAD 2016
- Organization
- Contents
- Process Execution Support
- Enabling Self-adaptive Workflows for Cyber-physical Systems
- 1 Introduction
- 2 Towards Cyber-physical Consistency for Processes
- 2.1 Cyber-physical Consistency
- 2.2 MAPE-K Control Loops for Ensuring CPS Consistency
- 3 Modelling Self-adaptive CPS Workflows
- 4 Executing Self-adaptive CPS Workflows
- 4.1 MAPE-K Components
- 4.2 MAPE-K Phases in Process Execution
- 5 Smart Lighting Case Study
- 6 Discussion
- 7 Related Work
- 8 Conclusion
- References
- Using the Guard-Stage-Milestone Notation for Monitoring BPMN-based Processes
- 1 Introduction
- 2 E-GSM
- 3 Transformation Rules
- 3.1 Basic Elements
- 3.2 Normal Flow
- 3.3 Exceptional Flow
- 4 Validation
- 4.1 An Error-Free Execution
- 4.2 A Catastrophic Execution
- 4.3 A Troublesome yet Recoverable Execution
- 5 Related Work
- 6 Conclusions and Future Work
- References
- Modelling the Process of Process Execution: A Process Model-Driven Approach to Customising User Inte ...
- Abstract
- 1 Introduction
- 2 The S-BPM Approach to Business Process Modelling
- 3 Modelling Process Execution as a Process
- 3.1 Modelling UI Workflow
- 3.2 Modelling UI Content
- 3.3 Connecting the UI Process to the Core Process
- 4 Example: Customising UIs for a Shopfloor Process
- 5 Related Work
- 6 Conclusion
- Acknowledgements
- References
- Improving Usability of Process Models
- Integrating Textual and Model-Based Process Descriptions for Comprehensive Process Search
- 1 Introduction
- 2 Background
- 2.1 Motivating Example
- 2.2 Related Work
- 3 Conceptual Approach
- 3.1 Overview
- 3.2 A Unified Format for Integrating Textual and Model-Based Process Descriptions
- 3.3 Parsing Textual Process Descriptions
- 3.4 Parsing Model-Based Process Descriptions
- 3.5 Querying the Unified Data Store
- 4 Evaluation
- 4.1 Setup
- 4.2 Data
- 4.3 Implementation
- 4.4 Results
- 5 Conclusion
- References
- Application of Business Process Diagrams' Complexity Management Technique Based on Highlights
- 1 Introduction
- 2 Research Background
- 2.1 Business Process Diagrams and Notations
- 2.2 Business Process Modeling Tools
- 2.3 Business Process Diagrams' Complexity
- 2.4 Business Process Diagrams Complexity Management
- 3 Proposed Solution
- 3.1 Theoretical Foundations
- 3.2 Proposed Highlights for Business Process Diagrams
- 3.3 Analysis of the Case Diagram
- 3.3.1 Complexity Analysis of the Case Diagram
- 4 Proof and Analysis of a Prototype IT Solution
- 4.1 Technical Aspects
- 4.2 Functional Aspect
- 4.3 Analysis of a Use Case Scenario
- 5 Discussion
- References
- A Methodology and Implementing Tool for Semantic Business Process Annotation
- 1 Introduction
- 2 Goals and Motivations
- 3 State of the Art
- 4 Methodology
- 4.1 Meta-Model
- 4.2 Structural and Domain Ontologies
- 5 Implementation
- 5.1 BPMN Model
- 5.2 OWL Model
- 5.3 BPMN2OWL Converter
- 6 Example
- 7 Conclusions and Future Works
- References
- Social and Human Perspective
- Considering Social Distance as an Influence Factor in the Process of Process Modeling
- 1 Introduction
- 2 Background on Construal Level Theory
- 3 Gamification, Virtual World, and 3D Scenario
- 4 Research Question and Experiment Definition
- 4.1 Context Selection and Goal Definition
- 4.2 Hypothesis Formulation
- 4.3 Experimental Setup
- 4.4 Experimental Design
- 4.5 Risk Analysis
- 5 Experiment Operation
- 5.1 Experiment Preparation
- 5.2 Experiment Execution
- 5.3 Data Validation
- 5.4 Threats to Validation
- 6 Data Analysis & Interpretation
- 6.1 Data Analysis and Descriptive Statistics
- 6.2 Data Set Reduction
- 6.3 Hypothesis Testing
- 6.4 Discussion
- 7 Related Work
- 8 Conclusion
- References
- What Have We Unlearned Since the Early Days of the Process Movement?
- 1 Introduction
- 2 Outcome vs. Tasks
- 3 Scope of the Process or Who is the Customer
- 4 BPM Missing the Big Picture
- 5 Collaboration Over Task Orchestration
- 6 Related Work
- 7 The Loss of the Big Picture in BPMDS
- 8 Conclusions
- References
- New Directions in Process Modeling
- Towards Impact Analysis of Data in Business Processes
- 1 Introduction
- 2 Running Example
- 3 Basic Definitions for Data Impact Analysis
- 4 Primitives for Data Impact Analysis
- 5 The Data Impact Analysis Approach
- 5.1 The Infrastructure of the Approach
- 5.2 Analyzing Data Impact for Redesign Scenarios
- 5.3 Analyzing Data Impact for Value Change Scenarios
- 5.4 Implementation and Preliminary Results
- 6 Related Work
- 7 Conclusion and Future Work
- Acknowledgment
- References
- Semi-automatic Derivation of RESTful Interactions from Choreography Diagrams
- 1 Introduction
- 2 Preliminaries
- 2.1 Choreography Diagram
- 2.2 RESTful Choreography Diagram
- 3 Semi-Automatic Generation of RESTful Choreography
- 3.1 Foundations
- 3.2 REST Verb Derivation via Natural Language Analysis
- 3.3 REST Request Generation
- 4 Evaluation
- 4.1 Evaluation Setup
- 4.2 Evaluation Results
- 4.3 Discussion
- 5 Related Work
- 6 Conclusions and Future Work
- References
- Controlling Time-Awareness in Modularized Processes
- 1 Introduction
- 2 Background and Related Work
- 3 Characterization of Time-Aware Processes
- 4 DC-Checking of Modularized Time-Aware Processes
- 5 Proof of Concept
- 6 Conclusions
- References
- Consistency, Correctness and Compliance
- A Systematic Literature Review of Consistency Among Business Process Models
- 1 Introduction
- 2 Inter Model Consistency: Key Terms and Concepts
- 3 Method Applied for the SLR
- 3.1 Research Questions and Search Process
- 3.2 Inclusion/Exclusion Criteria and Quality Assessment
- 4 Results
- 4.1 Search Results
- 4.2 Quality Evaluation of Primary Studies
- 4.3 Analysis of Results and Discussion
- 5 Towards Categorizing Approaches Related to Inter-model Consistency: A Reference Framework
- 6 Conclusion
- References
- Automatic Signature Generation for Anomaly Detection in Business Process Instance Data
- 1 Introduction
- 2 Signatures on Textual Process Instance Data
- 3 Generating Signatures
- 4 Evaluation
- 5 Related Work
- 6 Conclusion
- References
- Hybrid Diagnosis Applied to Multiple Instances in Business Processes
- 1 Introduction
- 2 Using Business Data Constraints. A Motivating Example
- 3 Applying Model-Based Diagnosis to Business Processes
- 3.1 Fundamentals of Model-Based Diagnosis
- 3.2 System Description: Relational Database Model and Business Data Constraints
- 3.3 Observational Model: Tuples of the Database
- 4 Constraint Programming for Hybrid Business Process Diagnosis Models
- 4.1 Fundamentals of Constraint Programming
- 4.2 Compliance Verification by Means of the Observational Model
- 4.3 Min-CSP Applied to Model-Based Diagnosis
- 4.4 Calculation of the MinLik Parameter
- 4.5 Diagnosing the Example
- 5 Evaluation
- 6 Related Works
- 7 Conclusions and Future Work
- References
- Process and Data Mining
- Connecting Databases with Process Mining: A Meta Model and Toolset
- 1 Introduction
- 2 Running Example
- 3 Meta Model
- 3.1 Requirements
- 3.2 Formalization
- 4 Implementation
- 5 Evaluation
- 5.1 Meta Model Completion Scenarios
- 5.2 Database Redo Logs
- 5.3 In-Table Versioning
- 5.4 SAP-style Change Table
- 5.5 Resulting Meta Model
- 6 Related Work
- 7 Conclusion
- References
- Towards a Formal Framework for Business Process Re-Design Based on Data Mining
- 1 Introduction
- 2 Background
- 2.1 Data Mining
- 2.2 Artifact-Centric Business Process Modeling
- 2.3 Semantically Annotated Business Processes
- 3 Motivation
- 3.1 Running Example
- 3.2 Research Problems
- 4 Framework
- 4.1 Overview
- 4.2 Definitions
- 4.3 Algorithms for Business Process Re-Design
- 4.4 Implementation
- 5 Related Work
- 6 Conclusions
- References
- Repairing Alignments: Striking the Right Nerve
- 1 Introduction
- 2 Preliminaries
- 2.1 Sequences, Bags and Event Logs
- 2.2 Process Trees
- 2.3 Alignments
- 3 Repairing Alignments
- 3.1 Repairing Alignments: A Concrete Example
- 3.2 Optimality of Repaired Alignments
- 3.3 Feasibility of Repaired Alignments
- 4 Evaluation
- 4.1 Experimental Set-Up
- 4.2 Running Time
- 4.3 Alignment Quality
- 5 Related Work
- 6 Conclusion
- References
- Process Variability
- A Process Variant Modeling Method Comparison: Experience Report
- 1 Introduction
- 2 The Design of the Process Variant Modeling Study
- 2.1 The Organization and the Need for Variant Modeling
- 2.2 Process Variant Modeling Method Selection
- 2.3 Purpose of the Study
- 2.4 Process Variant Modeling Plan
- 3 Applying the Decomposition Driven Method
- 3.1 Step 1 - Model the Main Process
- 3.2 Step 2 - Identify Variation Drivers
- 3.3 Step 3 - Assess the Relative Strength of Variation Drivers
- 3.4 Step 4 - Identify the Variations in Each Subprocess
- 3.5 Step 5 - Perform Similarity Assessment of Variants for Each Subprocess
- 3.6 Step 6 - Construct the Variation Map
- 3.7 Step 7 - Configure a Specific Process Variant
- 4 Applying the Provop Method
- 4.1 Step 1 - Design a Base Process
- 4.2 Step 2 - Define Adjustment Points
- 4.3 Step 3 - Design and Model the Options
- 4.4 Step 4 - Configure Variants
- 5 Evaluating the Results
- 5.1 Guidelines for Process Variant Modeling Method Selection
- 6 Conclusion
- References
- Fundamental Issues in Modeling
- Representing Dynamic Invariants in Ontologically Well-Founded Conceptual Models
- 1 Introduction
- 2 Requirements for the Representation of Dynamic Aspects
- 3 A Standard OCL Temporal Extension
- 3.1 Temporal Extension Approach
- 3.2 Underlying the World-Reified Model of Background
- 3.3 Temporal OCL Navigations
- 3.4 World Structures
- 3.5 Standard OCL Operations Revisited
- 4 Representing Dynamic Invariants (the Modeler's View)
- 5 Related Work
- 6 Concluding Remarks
- Acknowledgements
- References
- Requirements and Regulations
- MATRA: A Framework for Assessing Model-Based Approaches on the Transformation Between Requirements a ...
- 1 Introduction
- 2 Background
- 3 Model-Based Transformation Approaches
- 3.1 The CBSP Technique
- 3.2 The ATRIUM Methodology
- 3.3 The STREAM Process
- 3.4 The 4SRS-SoaML Method
- 4 The MATRA Framework
- 4.1 Representation Models and Transformation Method
- 4.2 Transformation and Evaluation
- 5 Discussion
- 6 Conclusion
- References
- Enterprise and Software Ecosystem Modeling
- Data Accountability in Socio-Technical Systems
- 1 Introduction
- 2 Background and Related Work
- 2.1 Data Governance
- 2.2 Accountability
- 3 A Structured Method for Designing an Accountability Architecture
- 4 A Generic Model for Socio-Technical Systems
- 5 Interaction Types in STS
- 6 Case Study
- 7 Conclusion and Future Work
- References
- Analysis of Imprecise Enterprise Models
- 1 Introduction
- 2 Modeling with Imprecise Information
- 3 Automated Analysis
- 4 Analyzing Imprecise Enterprise Models
- 4.1 Impact of Imprecision in Analysis Methods
- 4.2 Sensitivity of Analysis Methods for Imprecise Models
- 5 Conclusions
- References
- Enterprise Process Modeling in Practice - Experiences from a Case Study in the Healthcare Sector
- 1 Introduction
- 2 Modeling of Business Processes in Enterprise Development
- 3 Combining Top-Down and Bottom-up Modeling
- 3.1 Combining Ought-to-be Models with as-is and to-be Models
- 4 Case Study
- 4.1 Model Management and Use
- 5 Discussion, Conclusion and Further Work
- 6 Conclusion and Further Work
- References
- Information and Process Model Quality
- How Modeling Language Shapes Decisions: Problem-Theoretical Arguments and Illustration of an Example Case
- 1 Introduction
- 2 On Decisions and Problems
- 3 How Language Shapes Decisions: An Example Case
- 3.1 Scenario Setting
- 3.2 Perspective 1: The Situation as a Choice
- 3.3 Perspective 2: The Situation as an Entanglement of Causes
- 3.4 Perspective 3: The Situation as a Goal Conflict
- 3.5 Perspective 4: The Situation as a Net of Probabilistic Influences
- 4 Discussion and Implications
- 5 Conclusions
- References
- On Suitability of Standard UML Notation for Relational Database Schema Representation
- 1 Introduction
- 2 Related Work
- 3 Suitability of isID Meta-attribute
- 4 Alternative Representation of Keys
- 5 Forward Engineering of Relational Database
- 6 Conclusion
- References
- Meta-modeling and Domain Specific Modeling and Model Composition
- Towards a Meta-Model for Networked Enterprise
- Abstract
- 1 Introduction
- 2 Research Methodology
- 3 Conceptual Definition - Related Work and Positioning
- 3.1 Networked Enterprise
- 3.2 The Ontology of Enterprise Interoperability
- 3.3 Interoperability Requirements
- 4 Construction Stage - The Networked Enterprise Meta-Model
- 5 Evaluation Using a Case Study
- 6 Conclusion and Future Work
- Acknowledgements
- References
- PoN-S: A Systematic Approach for Applying the Physics of Notation (PoN)
- 1 Introduction
- 2 Fundamentals of the Physics of Notation (PoN)
- 3 PoN Systematized (PoN-S)
- 4 Applying PoN-S: A Case Study
- 5 Related Work
- 6 Final Considerations
- References
- How Cognitively Effective is a Visual Notation? On the Inherent Difficulty of Operationalizing the Physics of Notations
- 1 Introduction
- 2 PoN Principles Overview
- 3 An Analysis of PoN Operationalization
- 3.1 A Set-Theoretical Framework for PoN
- 3.2 Operationalization Analysis
- 4 Summary and Identified Concerns
- 5 Concluding Outlook
- References
- Modeling of Architecture and Design
- Modeling and Analysis of Vehicles Platoon Safety in a Dynamic Environment Based on GSPN
- 1 Introduction
- 2 Related Works
- 3 Generalized Stochastic Petri Nets for Modeling and Quantitative Analysis
- 4 Vehicles Platoon System in a Dynamic Environment
- 5 The GSPN Model for Vehicles Platoon System
- 6 Safety Analysis and Results
- 6.1 The Impact of the Number of Faulty Vehicles (n) per platoon Unsafe S(t)
- 6.2 Failure Rate Impact on Platoon Unsafe S(t)
- 6.3 Appearance Frequency of External Perturbation Impact on Platoon Unsafe S(t)
- 7 Conclusion
- References
- Use Case Diagrams for Mobile and Multi-channel Information Systems: Experimental Comparison of Colour and Icon Annotations
- 1 Introduction
- 2 Motivation and Hypotheses
- 3 Experiment Design
- 4 Results
- 5 Discussion and Threats to Validity
- 6 Related Work
- 7 Conclusions and Further Work
- References
- Author Index
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