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ISBN: 9783030621360

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-62135-3

Sprache: Englisch

Schlagwort(e): Software Engineering ; Kraftfahrzeugtechnik

DOI: 10.1007/978-3-030-62136-0

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Umfang: 1 Online-Ressource (404 p.)

ISBN: 9783030621360

Inhalt: This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany’s economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years

Anmerkung: English

Sprache: Englisch

URL: kostenfrei

UID:

Umfang: 1 Online-Ressource.

ISBN: 978-3-030-62136-0

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-62135-3

Sprache: Englisch

Schlagwort(e): Software Engineering ; Kraftfahrzeugtechnik

DOI: 10.1007/978-3-030-62136-0

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

UID:

Umfang: 1 Online-Ressource.

ISBN: 978-3-030-62136-0

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-62135-3

Sprache: Englisch

Schlagwort(e): Software Engineering ; Kraftfahrzeugtechnik

DOI: 10.1007/978-3-030-62136-0

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

UID:

Umfang: 1 online resource (411 pages)

Ausgabe: 1st ed.

ISBN: 9783030621360

Anmerkung: Intro -- Preface -- Table of Contents -- 1 CrESt Use Cases -- 1.1 Introduction -- 1.2 Vehicle Platooning -- 1.3 Adaptable and Flexible Factory -- 1.4 Autonomous Transport Robots -- 2 Engineering of Collaborative Embedded Systems -- 2.1 Introduction -- 2.2 Background -- 2.3 Collaborating Embedded Systems -- 2.3.1 Collaborative and Collaborating Systems -- 2.3.2 Goals of System Networks -- 2.3.3 Coordination in System Networks -- 2.3.4 Dynamics in System Networks -- 2.3.5 Functions -- 2.4 Problem Dimensions of Collaborative Embedded Systems -- 2.4.1 Challenges Related to Collaboration -- 2.4.2 Challenges Related to Dynamics -- 2.5 Application in the Domains "Cooperative Vehicle Automation" and "Industry 4.0" -- 2.5.1 Challenges in the Application Domain "Cooperative Vehicle Automation" -- Collaboration -- Dynamics -- 2.5.2 Challenges in the Application Domain "Industry 4.0" -- Collaboration -- Dynamics -- 2.6 Concepts and Methods for the Development of Collaborative Embedded Systems -- 2.6.1 Enhancements Regarding SPES2020 and SPES_XT -- 2.6.2 Collaboration -- Goals -- Functions and Behavior -- Architecture and Structure -- Communication -- 2.6.3 Dynamics -- Goals -- Functions and Behavior -- Architecture and Structure -- Context -- Uncertainty -- 2.7 Conclusion -- 2.8 Literature -- 2.9 Appendix -- 3 Architectures for Flexible Collaborative Systems -- 3.1 Introduction -- 3.2 Designing Reference Architectures -- 3.2.1 Method for Designing Reference Architectures -- 3.2.2 Application Example: Reference Architecture for Adaptable and Flexible Factories -- 3.3 Reference Architecture for Operator Assistance Systems -- 3.3.1 Simulation-Based Operator Assistance -- 3.3.2 Design Decisions -- 3.3.3 Technical Reference Architecture -- 3.3.4 Workflow of Services and Data Flow -- 3.3.5 Application Example for an Adaptable and Flexible Factory , 3.4 Checkable Safety Cases for Architecture Design -- 3.4.1 Checkable Safety Case Models - A Definition -- 3.4.2 Checkable Safety Case Patterns -- 3.4.3 An Example of Checkable Safety Case Patterns -- 3.5 Conclusion -- 3.6 Literature -- 4 Function Modeling for Collaborative Embedded Systems -- 4.1 Introduction -- 4.2 Methodological Approach -- 4.3 Background -- 4.4 Metamodel for Functions of CESs and CSGs -- 4.4.1 Systems, CESs, and CSGs -- 4.4.2 Functions -- 4.4.3 Goal Contribution and Fulfillment -- 4.4.4 Roles -- 4.4.5 Context and Adaptivity -- 4.5 Evaluation of the Metamodel -- 4.5.1 Abstraction -- 4.5.2 Relationships between Functions -- 4.5.3 Openness and Dynamicity -- 4.5.4 Goal Contributions -- 4.5.5 Relationships Between Functions and Systems -- 4.5.6 Input/Output Compatibility -- 4.5.7 Runtime Restructuring -- 4.6 Application of the Metamodel -- 4.6.1 Example from the Adaptable and Flexible Factory -- 4.6.2 Modeling of Goals for Transport Robots -- 4.7 Related Work -- 4.8 Conclusion -- 4.9 Literature -- 5 Architectures for Dynamically Coupled Systems -- 5.1 Introduction -- 5.2 Specification Modeling of the Behavior of Collaborative System Groups -- 5.3 Modeling CES Functional Architectures -- 5.3.1 Scenario -- 5.3.2 Modelling -- 5.3.3 Analysis -- 5.4 Extraction of Dynamic Architectures -- 5.4.1 Methods -- 5.4.2 Software Product Line Engineering -- 5.4.3 Product-Driven Software Product Line Engineering -- 5.4.4 Family Mining - A Method for Extracting Reference Architectures from Model Variants -- 5.4.5 Summary -- 5.5 Functional Safety Analysis (Online) -- 5.5.1 Functional Testing -- 5.5.2 Communication Errors -- 5.6 Conclusion -- 5.7 Literature -- 6 Modeling and Analyzing Context-Sensitive Changes during Runtime -- 6.1 Introduction and Motivation -- 6.2 Solution Concept -- 6.3 Ontology and Modeling -- 6.3.1 Ontology Building , 6.3.2 Capability Modeling -- 6.3.3 Variability Modeling for Context-Sensitive Reconfiguration -- 6.3.4 Scenario-Based Modeling -- 6.4 Model Integration and Execution -- 6.4.1 Model Generation for Simulation Models -- Model Generation via Knowledge Graph -- Application to a Real Production System -- 6.4.2 Capability Matching -- 6.5 Conclusion -- 6.6 Literature -- 7 Handling Uncertainty in Collaborative Embedded Systems Engineering -- 7.1 Uncertainty in Collaborative Embedded Systems -- 7.1.1 Conceptual Ontology for Handling Uncertainty -- 7.1.2 Different Kinds of Uncertainty -- 7.2 Modeling Uncertainty -- 7.2.1 Orthogonal Uncertainty Modeling -- Modeling Concepts and Notation -- Example -- 7.2.2 Modeling Uncertainty in Traffic Scenarios -- Modeling Traffic Scenarios for CSGs -- Behavioral Uncertainty Modeling -- Risk Assessment -- 7.3 Analyzing Uncertainty -- 7.3.1 Identifying Epistemic Uncertainties -- Uncertainty Sources at the Type Level -- Uncertainty Sources at the Instance Level -- EURECA -- 7.3.2 Assessing Data-Driven Uncertainties -- Three Types of Uncertainty Sources -- Managing Uncertainty during Operation -- Uncertainty Wrapper - Architecture and Application -- Uncertainty Wrappers - Limitations and Advantages -- 7.4 Conclusion -- 7.5 Literature -- 8 Dynamic Safety Certification for Collaborative Embedded Systems at Runtime -- 8.1 Introduction and Motivation -- 8.2 Overview of the Proposed Safety Certification Concept -- 8.3 Assuring Runtime Safety Based on Modular Safety Cases -- 8.3.1 Modeling CESs and their Context -- Modeling the Context -- Content Ontology -- Modeling Context in the Adaptable Factory -- 8.3.2 Runtime Uncertainty Handling -- Concept Overview -- Development of a U-Map for the Adaptable Factory -- 8.3.3 Runtime Monitoring of CESs and their Context -- Meta-model SQUADfps -- Case Study Example , 8.3.4 Integrated Model-Based Risk Assessment -- 8.3.5 Dynamic Safety Certification -- 8.4 Design and Runtime Contracts -- 8.4.1 Design-Time Approach for Collaborative Systems -- Creating the CSG Specification -- Safety-Relevant Activities -- 8.4.2 Contracts Concept -- 8.4.3 Runtime Evaluation of Safety Contracts -- Simulative Approach for Validation of Safety Contracts -- Case Study: Vehicle Platoon Example -- 8.5 Conclusion -- 8.6 Literature -- 9 Goal-Based Strategy Exploration -- 9.1 Introduction -- 9.2 Goal Modeling for Collaborative System Groups -- 9.3 Goal-Based Strategy Development -- 9.4 Goal Operationalization (KPI Development) -- 9.5 Modeling Methodology for Adaptive Systems with MATLAB/Simulink -- 9.6 Collaboration Framework for Goal-Based Strategies -- 9.6.1 Fleet Management in Collaborative Resource Networks -- 9.6.2 Collaboration Framework -- 9.6.3 Collaboration Design in Decentralized Fleet Management -- 9.7 Conclusion -- 9.8 Literature -- 10 Creating Trust in Collaborative Embedded Systems -- 10.1 Introduction -- 10.2 Building Trust during Design Time -- Testing framework for CSGs -- Model -- View -- Controller -- 10.3 Building Trust during Runtime -- 10.4 Monitoring Collaborative Embedded Systems -- Runtime Monitoring -- Runtime Monitoring of Collaborative System Groups -- Distributedness: -- Embeddedness: -- Runtime Monitoring of Interaction Protocols -- Monitoring Functional Correctness -- Agreement: -- Existence: -- Maximum: -- Monitoring Correct Timing Behavior -- U -- Ut -- 10.5 Conclusion -- 10.6 Literature -- 11 Language Engineering for Heterogeneous Collaborative Embedded Systems -- 11.1 Introduction -- 11.2 MontiCore -- 11.3 Language Components -- 11.4 Language Component Composition -- 11.5 Language Product Lines -- 11.6 Conclusion -- 11.7 Literature , 12 Development and Evaluation of Collaborative Embedded Systems using Simulation -- 12.1 Introduction -- 12.1.1 Motivation -- 12.1.2 Benefits of Using Simulation -- 12.2 Challenges in Simulating Collaborative Embedded Systems -- 12.2.1 Design Time Challenges -- 12.2.2 Runtime Challenges -- 12.3 Simulation Methods -- 12.4 Application -- 12.5 Conclusion -- 12.6 Literature -- 13 Tool Support for CoSimulation-Based Analysis -- 13.1 Introduction -- 13.2 Interaction of Different Simulations -- 13.3 General Tool Architecture -- 13.4 Implementing Interoperability for Co-Simulation -- 13.5 Distributed Co-Simulation -- 13.6 Analysis of Simulation Results -- 13.7 Conclusion -- 13.8 Literature -- 14 Supporting the Creation of Digital Twins for CESs -- 14.1 Introduction -- 14.2.1 Demonstration -- Automotive Smart Ecosystems -- Smart Grids -- 14.2 Building Trust through Digital Twin Evaluation -- 14.3 Conclusion -- 14.4 Literature -- 15 Online Experiment-Driven Learning and Adaptation -- 15.1 Introduction -- 15.2 A Self-Optimization Approach for CESs -- 15.3 Illustration on CrowdNav -- 15.4 Conclusion -- 15.5 Literature -- 16 Compositional Verification using Model Checking and Theorem Proving -- 16.1 Introduction -- 16.2 Approach -- 16.3 Example -- 16.3.1 Specification -- 16.3.2 Verification -- 16.4 Conclusion -- 16.5 Literature -- 17 Artifact-Based Analysis for the Development of Collaborative Embedded Systems -- 17.1 Introduction -- 17.2 Foundations -- UML/P -- Class Diagrams in UML/P -- Object Diagrams in UML/P -- OCL -- 17.3 Artifact-Based Analysis -- Artifact Model Creation -- Specification of Artifact Data Analysis -- Artifact-Based Analyses -- 17.4 Artifact Model for Systems Engineering Projects with Doors NG and Enterprise Architect -- 17.4.1 Artifact Modeling of Doors NG and Enterprise Architect , 17.4.2 Static Extractor for Doors NG and Enterprise Architect Exports

Weitere Ausg.: Print version Böhm, Wolfgang Model-Based Engineering of Collaborative Embedded Systems Cham : Springer International Publishing AG,c2020 ISBN 9783030621353

Sprache: Englisch

Schlagwort(e): Electronic books

URL: Full-text  ((OIS Credentials Required))

UID:

Umfang: 1 online resource (411 pages)

ISBN: 9783030621360

Anmerkung: Intro -- Preface -- Table of Contents -- 1 CrESt Use Cases -- 1.1 Introduction -- 1.2 Vehicle Platooning -- 1.3 Adaptable and Flexible Factory -- 1.4 Autonomous Transport Robots -- 2 Engineering of Collaborative Embedded Systems -- 2.1 Introduction -- 2.2 Background -- 2.3 Collaborating Embedded Systems -- 2.3.1 Collaborative and Collaborating Systems -- 2.3.2 Goals of System Networks -- 2.3.3 Coordination in System Networks -- 2.3.4 Dynamics in System Networks -- 2.3.5 Functions -- 2.4 Problem Dimensions of Collaborative Embedded Systems -- 2.4.1 Challenges Related to Collaboration -- 2.4.2 Challenges Related to Dynamics -- 2.5 Application in the Domains "Cooperative Vehicle Automation" and "Industry 4.0" -- 2.5.1 Challenges in the Application Domain "Cooperative Vehicle Automation" -- Collaboration -- Dynamics -- 2.5.2 Challenges in the Application Domain "Industry 4.0" -- Collaboration -- Dynamics -- 2.6 Concepts and Methods for the Development of Collaborative Embedded Systems -- 2.6.1 Enhancements Regarding SPES2020 and SPES_XT -- 2.6.2 Collaboration -- Goals -- Functions and Behavior -- Architecture and Structure -- Communication -- 2.6.3 Dynamics -- Goals -- Functions and Behavior -- Architecture and Structure -- Context -- Uncertainty -- 2.7 Conclusion -- 2.8 Literature -- 2.9 Appendix -- 3 Architectures for Flexible Collaborative Systems -- 3.1 Introduction -- 3.2 Designing Reference Architectures -- 3.2.1 Method for Designing Reference Architectures -- 3.2.2 Application Example: Reference Architecture for Adaptable and Flexible Factories -- 3.3 Reference Architecture for Operator Assistance Systems -- 3.3.1 Simulation-Based Operator Assistance -- 3.3.2 Design Decisions -- 3.3.3 Technical Reference Architecture -- 3.3.4 Workflow of Services and Data Flow -- 3.3.5 Application Example for an Adaptable and Flexible Factory. , 3.4 Checkable Safety Cases for Architecture Design -- 3.4.1 Checkable Safety Case Models - A Definition -- 3.4.2 Checkable Safety Case Patterns -- 3.4.3 An Example of Checkable Safety Case Patterns -- 3.5 Conclusion -- 3.6 Literature -- 4 Function Modeling for Collaborative Embedded Systems -- 4.1 Introduction -- 4.2 Methodological Approach -- 4.3 Background -- 4.4 Metamodel for Functions of CESs and CSGs -- 4.4.1 Systems, CESs, and CSGs -- 4.4.2 Functions -- 4.4.3 Goal Contribution and Fulfillment -- 4.4.4 Roles -- 4.4.5 Context and Adaptivity -- 4.5 Evaluation of the Metamodel -- 4.5.1 Abstraction -- 4.5.2 Relationships between Functions -- 4.5.3 Openness and Dynamicity -- 4.5.4 Goal Contributions -- 4.5.5 Relationships Between Functions and Systems -- 4.5.6 Input/Output Compatibility -- 4.5.7 Runtime Restructuring -- 4.6 Application of the Metamodel -- 4.6.1 Example from the Adaptable and Flexible Factory -- 4.6.2 Modeling of Goals for Transport Robots -- 4.7 Related Work -- 4.8 Conclusion -- 4.9 Literature -- 5 Architectures for Dynamically Coupled Systems -- 5.1 Introduction -- 5.2 Specification Modeling of the Behavior of Collaborative System Groups -- 5.3 Modeling CES Functional Architectures -- 5.3.1 Scenario -- 5.3.2 Modelling -- 5.3.3 Analysis -- 5.4 Extraction of Dynamic Architectures -- 5.4.1 Methods -- 5.4.2 Software Product Line Engineering -- 5.4.3 Product-Driven Software Product Line Engineering -- 5.4.4 Family Mining - A Method for Extracting Reference Architectures from Model Variants -- 5.4.5 Summary -- 5.5 Functional Safety Analysis (Online) -- 5.5.1 Functional Testing -- 5.5.2 Communication Errors -- 5.6 Conclusion -- 5.7 Literature -- 6 Modeling and Analyzing Context-Sensitive Changes during Runtime -- 6.1 Introduction and Motivation -- 6.2 Solution Concept -- 6.3 Ontology and Modeling -- 6.3.1 Ontology Building. , 6.3.2 Capability Modeling -- 6.3.3 Variability Modeling for Context-Sensitive Reconfiguration -- 6.3.4 Scenario-Based Modeling -- 6.4 Model Integration and Execution -- 6.4.1 Model Generation for Simulation Models -- Model Generation via Knowledge Graph -- Application to a Real Production System -- 6.4.2 Capability Matching -- 6.5 Conclusion -- 6.6 Literature -- 7 Handling Uncertainty in Collaborative Embedded Systems Engineering -- 7.1 Uncertainty in Collaborative Embedded Systems -- 7.1.1 Conceptual Ontology for Handling Uncertainty -- 7.1.2 Different Kinds of Uncertainty -- 7.2 Modeling Uncertainty -- 7.2.1 Orthogonal Uncertainty Modeling -- Modeling Concepts and Notation -- Example -- 7.2.2 Modeling Uncertainty in Traffic Scenarios -- Modeling Traffic Scenarios for CSGs -- Behavioral Uncertainty Modeling -- Risk Assessment -- 7.3 Analyzing Uncertainty -- 7.3.1 Identifying Epistemic Uncertainties -- Uncertainty Sources at the Type Level -- Uncertainty Sources at the Instance Level -- EURECA -- 7.3.2 Assessing Data-Driven Uncertainties -- Three Types of Uncertainty Sources -- Managing Uncertainty during Operation -- Uncertainty Wrapper - Architecture and Application -- Uncertainty Wrappers - Limitations and Advantages -- 7.4 Conclusion -- 7.5 Literature -- 8 Dynamic Safety Certification for Collaborative Embedded Systems at Runtime -- 8.1 Introduction and Motivation -- 8.2 Overview of the Proposed Safety Certification Concept -- 8.3 Assuring Runtime Safety Based on Modular Safety Cases -- 8.3.1 Modeling CESs and their Context -- Modeling the Context -- Content Ontology -- Modeling Context in the Adaptable Factory -- 8.3.2 Runtime Uncertainty Handling -- Concept Overview -- Development of a U-Map for the Adaptable Factory -- 8.3.3 Runtime Monitoring of CESs and their Context -- Meta-model SQUADfps -- Case Study Example. , 8.3.4 Integrated Model-Based Risk Assessment -- 8.3.5 Dynamic Safety Certification -- 8.4 Design and Runtime Contracts -- 8.4.1 Design-Time Approach for Collaborative Systems -- Creating the CSG Specification -- Safety-Relevant Activities -- 8.4.2 Contracts Concept -- 8.4.3 Runtime Evaluation of Safety Contracts -- Simulative Approach for Validation of Safety Contracts -- Case Study: Vehicle Platoon Example -- 8.5 Conclusion -- 8.6 Literature -- 9 Goal-Based Strategy Exploration -- 9.1 Introduction -- 9.2 Goal Modeling for Collaborative System Groups -- 9.3 Goal-Based Strategy Development -- 9.4 Goal Operationalization (KPI Development) -- 9.5 Modeling Methodology for Adaptive Systems with MATLAB/Simulink -- 9.6 Collaboration Framework for Goal-Based Strategies -- 9.6.1 Fleet Management in Collaborative Resource Networks -- 9.6.2 Collaboration Framework -- 9.6.3 Collaboration Design in Decentralized Fleet Management -- 9.7 Conclusion -- 9.8 Literature -- 10 Creating Trust in Collaborative Embedded Systems -- 10.1 Introduction -- 10.2 Building Trust during Design Time -- Testing framework for CSGs -- Model -- View -- Controller -- 10.3 Building Trust during Runtime -- 10.4 Monitoring Collaborative Embedded Systems -- Runtime Monitoring -- Runtime Monitoring of Collaborative System Groups -- Distributedness: -- Embeddedness: -- Runtime Monitoring of Interaction Protocols -- Monitoring Functional Correctness -- Agreement: -- Existence: -- Maximum: -- Monitoring Correct Timing Behavior -- U -- Ut -- 10.5 Conclusion -- 10.6 Literature -- 11 Language Engineering for Heterogeneous Collaborative Embedded Systems -- 11.1 Introduction -- 11.2 MontiCore -- 11.3 Language Components -- 11.4 Language Component Composition -- 11.5 Language Product Lines -- 11.6 Conclusion -- 11.7 Literature. , 12 Development and Evaluation of Collaborative Embedded Systems using Simulation -- 12.1 Introduction -- 12.1.1 Motivation -- 12.1.2 Benefits of Using Simulation -- 12.2 Challenges in Simulating Collaborative Embedded Systems -- 12.2.1 Design Time Challenges -- 12.2.2 Runtime Challenges -- 12.3 Simulation Methods -- 12.4 Application -- 12.5 Conclusion -- 12.6 Literature -- 13 Tool Support for CoSimulation-Based Analysis -- 13.1 Introduction -- 13.2 Interaction of Different Simulations -- 13.3 General Tool Architecture -- 13.4 Implementing Interoperability for Co-Simulation -- 13.5 Distributed Co-Simulation -- 13.6 Analysis of Simulation Results -- 13.7 Conclusion -- 13.8 Literature -- 14 Supporting the Creation of Digital Twins for CESs -- 14.1 Introduction -- 14.2.1 Demonstration -- Automotive Smart Ecosystems -- Smart Grids -- 14.2 Building Trust through Digital Twin Evaluation -- 14.3 Conclusion -- 14.4 Literature -- 15 Online Experiment-Driven Learning and Adaptation -- 15.1 Introduction -- 15.2 A Self-Optimization Approach for CESs -- 15.3 Illustration on CrowdNav -- 15.4 Conclusion -- 15.5 Literature -- 16 Compositional Verification using Model Checking and Theorem Proving -- 16.1 Introduction -- 16.2 Approach -- 16.3 Example -- 16.3.1 Specification -- 16.3.2 Verification -- 16.4 Conclusion -- 16.5 Literature -- 17 Artifact-Based Analysis for the Development of Collaborative Embedded Systems -- 17.1 Introduction -- 17.2 Foundations -- UML/P -- Class Diagrams in UML/P -- Object Diagrams in UML/P -- OCL -- 17.3 Artifact-Based Analysis -- Artifact Model Creation -- Specification of Artifact Data Analysis -- Artifact-Based Analyses -- 17.4 Artifact Model for Systems Engineering Projects with Doors NG and Enterprise Architect -- 17.4.1 Artifact Modeling of Doors NG and Enterprise Architect. , 17.4.2 Static Extractor for Doors NG and Enterprise Architect Exports.

Weitere Ausg.: Print version: Böhm, Wolfgang Model-Based Engineering of Collaborative Embedded Systems Cham : Springer International Publishing AG,c2020 ISBN 9783030621353

Sprache: Englisch

Schlagwort(e): Electronic books.

URL: Click to View

UID:

Umfang: 1 online resource (XIII, 404 p. 148 illus., 83 illus. in color.)

Ausgabe: 1st ed. 2021.

ISBN: 3-030-62136-7

Inhalt: This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany’s economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years.

Anmerkung: 1. Use Cases -- 2. Engineering of Collaborative Embedded Systems -- 3. Architectures for Flexible Collaborative Systems -- 4. Function Modeling for Collaborative Embedded Systems -- 5. Architectures for Dynamically Coupled Systems -- 6. Modeling and Analyzing Context-Sensitive Changes during Runtime -- 7. Handling Uncertainty in Collaborative Embedded Systems Engineering -- 8. Dynamic Safety Certification for Collaborative Embedded Systems at Runtime -- 9. Goal-Based Strategy Exploration -- 10. Creating Trust in Collaborative Embedded Systems -- 11. Language Engineering for Heterogeneous Collaborative Embedded Systems -- 12. Development and Evaluation of Collaborative Systems using Simulation -- 13. Tool Support for Co-Simulation-Based Analysis -- 14. Supporting the Creation of Digital Twins for CESs -- 15. Online Experiment-Driven Learning and Adaption -- 16. Compositional Verification using Model Checking and Theorem Proving -- 17. Artifact-Based Analysis for the Development of Collaborative Embedded Systems -- 18. Variant and Product Line Co-Evolution -- 19. Advanced Systems Engineering. , English

Weitere Ausg.: ISBN 3-030-62135-9

Sprache: Englisch

DOI: 10.1007/978-3-030-62136-0

UID:

Umfang: 1 online resource (XIII, 404 p. 148 illus., 83 illus. in color.)

Ausgabe: 1st ed. 2021.

ISBN: 3-030-62136-7

Inhalt: This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany’s economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years.

Anmerkung: 1. Use Cases -- 2. Engineering of Collaborative Embedded Systems -- 3. Architectures for Flexible Collaborative Systems -- 4. Function Modeling for Collaborative Embedded Systems -- 5. Architectures for Dynamically Coupled Systems -- 6. Modeling and Analyzing Context-Sensitive Changes during Runtime -- 7. Handling Uncertainty in Collaborative Embedded Systems Engineering -- 8. Dynamic Safety Certification for Collaborative Embedded Systems at Runtime -- 9. Goal-Based Strategy Exploration -- 10. Creating Trust in Collaborative Embedded Systems -- 11. Language Engineering for Heterogeneous Collaborative Embedded Systems -- 12. Development and Evaluation of Collaborative Systems using Simulation -- 13. Tool Support for Co-Simulation-Based Analysis -- 14. Supporting the Creation of Digital Twins for CESs -- 15. Online Experiment-Driven Learning and Adaption -- 16. Compositional Verification using Model Checking and Theorem Proving -- 17. Artifact-Based Analysis for the Development of Collaborative Embedded Systems -- 18. Variant and Product Line Co-Evolution -- 19. Advanced Systems Engineering. , English

Weitere Ausg.: ISBN 3-030-62135-9

Sprache: Englisch

DOI: 10.1007/978-3-030-62136-0

UID:

Umfang: 1 online resource (XIII, 404 p. 148 illus., 83 illus. in color.)

Ausgabe: 1st ed. 2021.

ISBN: 3-030-62136-7

Inhalt: This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany’s economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years.

Anmerkung: 1. Use Cases -- 2. Engineering of Collaborative Embedded Systems -- 3. Architectures for Flexible Collaborative Systems -- 4. Function Modeling for Collaborative Embedded Systems -- 5. Architectures for Dynamically Coupled Systems -- 6. Modeling and Analyzing Context-Sensitive Changes during Runtime -- 7. Handling Uncertainty in Collaborative Embedded Systems Engineering -- 8. Dynamic Safety Certification for Collaborative Embedded Systems at Runtime -- 9. Goal-Based Strategy Exploration -- 10. Creating Trust in Collaborative Embedded Systems -- 11. Language Engineering for Heterogeneous Collaborative Embedded Systems -- 12. Development and Evaluation of Collaborative Systems using Simulation -- 13. Tool Support for Co-Simulation-Based Analysis -- 14. Supporting the Creation of Digital Twins for CESs -- 15. Online Experiment-Driven Learning and Adaption -- 16. Compositional Verification using Model Checking and Theorem Proving -- 17. Artifact-Based Analysis for the Development of Collaborative Embedded Systems -- 18. Variant and Product Line Co-Evolution -- 19. Advanced Systems Engineering. , English

Weitere Ausg.: ISBN 3-030-62135-9

Sprache: Englisch

DOI: 10.1007/978-3-030-62136-0

UID:

Umfang: XIII, 404 p. 148 illus., 83 illus. in color. , online resource.

Ausgabe: 1st ed. 2021.

ISBN: 9783030621360

Inhalt: This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany's economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years.

Anmerkung: 1. Use Cases -- 2. Engineering of Collaborative Embedded Systems -- 3. Architectures for Flexible Collaborative Systems -- 4. Function Modeling for Collaborative Embedded Systems -- 5. Architectures for Dynamically Coupled Systems -- 6. Modeling and Analyzing Context-Sensitive Changes during Runtime -- 7. Handling Uncertainty in Collaborative Embedded Systems Engineering -- 8. Dynamic Safety Certification for Collaborative Embedded Systems at Runtime -- 9. Goal-Based Strategy Exploration -- 10. Creating Trust in Collaborative Embedded Systems -- 11. Language Engineering for Heterogeneous Collaborative Embedded Systems -- 12. Development and Evaluation of Collaborative Systems using Simulation -- 13. Tool Support for Co-Simulation-Based Analysis -- 14. Supporting the Creation of Digital Twins for CESs -- 15. Online Experiment-Driven Learning and Adaption -- 16. Compositional Verification using Model Checking and Theorem Proving -- 17. Artifact-Based Analysis for the Development of Collaborative Embedded Systems -- 18. Variant and Product Line Co-Evolution -- 19. Advanced Systems Engineering.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783030621353

Weitere Ausg.: Printed edition: ISBN 9783030621377

Weitere Ausg.: Printed edition: ISBN 9783030621384

Sprache: Englisch

DOI: 10.1007/978-3-030-62136-0

URL: https://doi.org/10.1007/978-3-030-62136-0