
Business Modeling and Software Design
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This book constitutes the refereed proceedings of the 14h International Symposium on Business Modeling and Software Design, BMSD 2024, which took place in Luxembourg, during July 1-3, 2024.
The 13 full and 7 short papers included in this book were carefully reviewed and selected from a total of 54 submissions.
BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering, Business Models and Requirements, Business Models and Services, Business Models and Software, Information Systems Architectures and Paradigms, Data Aspects in Business Modeling and Software Development, Blockchain-Based Business Models and Information Systems, IoT and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused, and in 2024 it is: Towards Socially Responsible Information Systems.
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Inhalt
- Intro
- Preface
- Organization
- Developing Information Systems Accurately (Abstract of Keynote Lecture)
- Contents
- Full Papers
- Analysis of the Strengths of Process Mining Techniques in the Optimization of Logistics Processes
- 1 Introduction
- 2 Logistics and Process Mining
- 3 Case Study: Logistics Process Analysis and Optimization Using Process Mining Methods
- 3.1 Case Briefing
- 3.2 Introducing the Logistics Process
- 3.3 Importing Event Logs into Disco
- 3.4 Process Mining Map
- 3.5 Results and Discussion
- 4 Conclusion
- References
- Process-Led Digital Transformation: Mastering the Journey Towards the Composable Enterprise
- 1 Process-Led Digital Transformation to Realize the Composable Enterprise in a Specific Company Context
- 1.1 The Composable Enterprise as Transformation Target
- 1.2 The Challenge Realizing the Composable Enterprise
- 1.3 Process-Led Digital Transformation to Organize the Journey
- 2 Prioritize
- 2.1 Understand the Context
- 2.2 Target Value
- 2.3 Define the Transformation Roadmap
- 3 Design
- 3.1 Identify the Design Approach
- 3.2 Standardize
- 3.3 Optimize
- 3.4 Innovate
- 4 Realize and Sustain
- 4.1 Implement
- 4.2 Govern
- 5 Continue to Enhance the Journey
- References
- From Value Streams and Capability Maps to Protocol Models and Back
- 1 Introduction
- 2 Status of Value Stream and Capability Map Design
- 2.1 Definitions
- 2.2 Frameworks
- 3 Method for Designing Value Streams and Capability Maps Using Protocol Modeling
- 3.1 Manageable Capability Map
- 3.2 Protocol Modeling
- 3.3 Method Description
- 4 Value Stream and Capability Model from Unmanageable to Manageable
- 4.1 The First Version of a Value Stream and Capability Map Is Proposed
- 4.2 The Capabilities from the Capability Map Are Modeled as Protocols
- 4.3 The Protocol Models Are Simulated
- 4.4 The New Version of the Protocol Models for Capabilities Is Redrawn
- 4.5 The New Version of the Protocol Model Is Simulated
- 4.6 The New, Manageable Version of the Capability Model Is Redrawn from the Protocol Model
- 5 Conclusion and Future Work
- References
- A Method to Align Business Capability Maps and Enterprise Data Models
- 1 Introduction
- 1.1 Business Capability Map
- 1.2 Enterprise Data Model
- 1.3 Reasons for Model Alignment
- 1.4 Research Question
- 1.5 Outline of the Paper
- 2 TOGAF Enterprise Metamodel
- 3 Semantic Analysis
- 3.1 Analysis of Business Capability
- 3.2 Analysis of Business Information
- 3.3 Analysis of the Relationship Between Business Capability and Business Information
- 4 Refined Metamodel with Rules and Guidelines
- 4.1 The Use of Business Function Over Business Capability
- 4.2 The Use of Business Object Over Business Information
- 4.3 Refined Metamodel
- 4.4 Consistency Rules and Guidelines
- 5 Evaluation Using a Case Study
- 5.1 Introduction
- 5.2 Illustration
- 5.3 Evaluation
- 6 Discussion and Conclusion
- References
- Assigning Declarative Semantics to Some UML Activity Diagrams and BPMN Diagrams
- 1 Introduction
- 1.1 Related Work Versus Our Work
- 1.2 Paper Outline
- 2 UTIL: A Universal Textual Instruction Language Template
- 2.1 Grammar for UTIL
- 2.2 UTIL-Expressions: An Example
- 2.3 Basic Building Blocks: An Example
- 3 Mapping UTIL to Activity Diagrams and to BPMN
- 4 Declarative Semantics for UTIL-Instructions
- 5 Declarative Semantics for Some BPMN and Activity Diagrams
- 6 Instructions with Explicit Actors
- 6.1 Indicating Actors in UTIL
- 6.2 Diagrams with Actors (in Situ)
- 6.3 Diagrams with Swim Lanes
- 7 Summary and Conclusions
- 8 Future Work
- References
- A Systematic Approach to Derive Conceptual Models from BPMN Models
- 1 Introduction
- 2 Background
- 2.1 BPMN
- 2.2 Conceptual Models
- 2.3 Model Transformations
- 3 Related Work
- 4 The Proposed Method
- 4.1 Preliminary Steps
- 4.2 Transformation Rules
- 4.3 The Transformation Approach
- 5 Proof of Concept
- 6 Challenges
- 7 Conclusions
- References
- An Analysis of Kinds of Skills and Knowledge in Information System Development
- 1 Introduction
- 2 About Business, Business Organisations and IT Systems
- 3 Theoretical Background
- 3.1 General
- 3.2 Flyvbjerg - Megaprojects as Trait-Making Projects
- 3.3 Kretz: The Cosmos of Design
- 3.4 Van Heusden
- 3.5 Comparison to Some Approaches in Information System Development
- 3.6 Trait Taking or Trait-Making
- 3.7 Summary of This Section
- 4 Case: A Redesign of a Legacy System for Slaughter Lines
- 4.1 Introduction
- 4.2 The Legacy System
- 4.3 Redesign with Separation of Knowledge Domains
- 5 Discussion
- 5.1 Kinds of Knowledge Involved in the Case
- 5.2 Role of Artefacts in the Design Cycle
- 6 Conclusion
- References
- VR-SDLC: A Context-Enhanced Life Cycle Visualization of Software-or-Systems Development in Virtual Reality
- 1 Introduction
- 2 Related Work
- 3 Background on the Lifecycle Modeling Language
- 4 Solution Concept
- 4.1 Grounding in VR-Related Research
- 4.2 VR-SDLC Solution Concept
- 5 Realization
- 6 Evaluation
- 6.1 Multi-project and Program Management Analysis Support Scenario
- 6.2 Contextualization Scenario
- 6.3 Heterogeneous Hypermodeling Support Scenario
- 7 Conclusion
- References
- Smart Contracts as Data Quality Consensus Enforcers in Data Markets
- 1 Introduction
- 2 Research Methodology
- 2.1 Relevance of Blockchain Technology
- 2.2 Interview Protocol
- 2.3 Participant Recruitment Process
- 2.4 Replication Package
- 3 Smart Contracts-Based Approach for Enforcing Consensus in Data Transactions
- 3.1 Roles of Smart Contracts
- 3.2 Roles of Players in Smart Contract Mediated Data Transactions
- 3.3 Smart Contract Mediated Data Transaction Workflow
- 4 Evaluation
- 4.1 Proof of Concept
- 4.2 Cost Estimation
- 4.3 Interview Results
- 5 Related Work
- 6 Conclusion and Future Work
- References
- From Mutualism to Amensalism: A Case Study of Blockchain and Digital Identity Wallets
- 1 Introduction
- 2 Theoretical Background
- 2.1 Sense-Making of IT Organizing Visions
- 2.2 Loose Coupling and Population Ecology Principles of Species Interaction
- 2.3 The Co-Evolution of Blockchain Technology and Digital Identity Wallets
- 3 Research Method
- 3.1 Case Selection
- 3.2 Data Collection
- 3.3 Data Analysis
- 4 Emerging Theoretical Framework
- 4.1 Establishing Mutualism Between the Two Emerging ITs
- 4.2 Handling Commensalism Between the Two Emerging ITs
- 4.3 Navigating Amensalism Between the Two Emerging ITs
- 5 Discussion
- 5.1 Tentative Model
- 5.2 Theoretical Contributions
- 5.3 Practical Implications
- 6 Conclusion
- References
- A Review on Privacy and Monetization Aspects Within BCI and XR-BCI Ecosystems
- 1 Introduction
- 2 Data Monetization Policies
- 2.1 General Data Monetization Strategies
- 2.2 BCI and XR-BCI Data Monetization
- 2.3 Neuromarketing
- 3 Analysis of Privacy Policies
- 3.1 Review Preparations
- 3.2 Results of the Review
- 4 Discussion over Main Results
- 5 Conclusion
- References
- Researching Multi-Site Artificial Neural Networks' Activation Rates and Activation Cycles
- 1 Introduction
- 2 Theoretical Foundation
- 2.1 Neuronal System Modeling and Artificial Knowledge Transfers
- 2.2 ANN-Based Cyber-Physical Production Systems
- 2.3 System Analysis and System States
- 3 Design
- 3.1 Production Site Design
- 3.2 Scenario Design
- 3.3 Task Design
- 3.4 AI Application Design
- 3.5 Simulation Design
- 4 Experiment Design
- 5 Conclusion
- References
- Reproducibility of Firmware Analysis: An Empirical Study
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 3.1 Paper Pool Selection
- 3.2 Search Strategy
- 3.3 Screening and Selection
- 3.4 Reproducibility Framework
- 4 Implementation and Challenges
- 4.1 TPL Detection
- 4.2 Image Base Determination of Binary Executables
- 5 Reproducibility Theoretical Evaluation
- 5.1 Reproducibility Assessment
- 5.2 Ease of Reproducibility Assessment
- 6 Discussion
- 7 Conclusion
- 7.1 Future Work
- References
- Short Paper
- Roles of Natural Language Generation for Requirements Engineering
- 1 Introduction
- 2 Background
- 3 Simple Conceptual Data Models
- 3.1 Explaining a Conceptual Data Model in English
- 4 Textual System Sequence Descriptions
- 4.1 Turning a Textual SSD into a Structured Use Case
- 5 Generalization
- 6 Conclusions and Future Work
- References
- Developing Functional Specifications of an Information System a Personal Overview
- 1 Introduction
- 2 Statics
- 3 Dynamics
- 4 Developing a User Wish: An Example
- 5 Further Background Ingredients of Our Approach
- 6 In Conclusion
- References
- Context Awareness and External Factors
- 1 Introduction
- 2 Background
- 3 Analysis
- 4 Conclusions
- References
- Managing Multi-site Artificial Neural Networks' Activation Rates and Activation Cycles
- 1 Introduction
- 2 Experiment Design
- 3 Demonstration
- 3.1 Experiment 1 - ID1
- 3.2 Experiment 2 - ID14
- 4 Evaluation
- 4.1 Experiment 1 - ID1
- 4.2 Experiment 2 - ID14
- 5 Conclusion
- References
- Software Architecture for Object Detection in Images Based on Color Features with Integrated Artificial Intelligence
- 1 Introduction
- 2 Principles and Application of YOLO
- 3 Architecture of the YOLO Integration Module in a .Net Environment
- 4 Results
- 5 Conclusions
- References
- Challenges in Geolocation for Logistics Delivery: A Case Study on the Accuracy in Bulgaria of Google Maps Directions API
- 1 Introduction
- 2 Analysis of the Accuracy of the Google Geolocation Tool for Logistics Purposes
- 2.1 Small Deviation from the Correct Point with Significant Importance
- 2.2 Wrong Location with a Significant Deviation from the Correct Point
- 3 Determination of the Distance Using the Haversine Formula and the Google Maps Directions API to Demonstrate the Problem of Geolocation in Logistics Delivery
- 4 An Approach to Improve Geolocation for Logistics Delivery
- 5 Conclusion
- References
- Understanding SBOMs in Real-World Systems - A Practical DevOps/SecOps Perspective
- 1 Introduction
- 2 Background
- 2.1 SBOM Formats
- 2.2 DevOps, SecOps, and DevSecOps
- 3 Related Work
- 4 SBOM Realities and Challenges
- 4.1 Source-Code/Build-Time SBOMs
- 4.2 Binary and Post-Build SBOMs
- 4.3 Runtime SBOMs: Host Perspective
- 4.4 Runtime SBOMs: Network Perspective
- 5 Discussion
- 6 Conclusion
- References
- Correction to: Business Modeling and Software Design
- Author Index
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