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The Practice of enterprise modeling : 15th IFIP WG 8. 1 working conference, PoEM 2022, London, UK, November 23-25, 2022, proceedings / / edited by Balbir S. Barn, Kurt Sandkuhl



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Titolo: The Practice of enterprise modeling : 15th IFIP WG 8. 1 working conference, PoEM 2022, London, UK, November 23-25, 2022, proceedings / / edited by Balbir S. Barn, Kurt Sandkuhl Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer, , [2023]
©2023
Descrizione fisica: 1 online resource (255 pages)
Disciplina: 260
Soggetto topico: Business enterprises - Data processing
Persona (resp. second.): BarnBalbir S.
SandkuhlKurt
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Models in Information System Development -- Investigating The Effectiveness of Model-Based Testing on Testing Skill Acquisition -- 1 Introduction -- 2 Related Work -- 2.1 Teaching of Software Testing -- 2.2 Model-Based Testing -- 2.3 MERODE Code Generator and TesCaV -- 3 Research Method -- 3.1 Hypotheses -- 3.2 Experimental Design -- 3.3 Evaluation -- 4 Results -- 4.1 Personal Characteristic of the Participants -- 4.2 Test Case Coverage Scores -- 5 Discussion -- 5.1 Contributions -- 5.2 Internal Validity -- 5.3 External Validity -- 6 Conclusion -- 7 Further Research -- References -- Generating Low-Code Applications from Enterprise Ontology -- 1 Introduction -- 2 Theoretical Background -- 2.1 Enterprise Ontology -- 2.2 Enterprise Implementation -- 2.3 Model-Based Engineering and Low-Code Technology -- 3 Mapping -- 4 Implementation and Evaluation -- 5 Conclusions and Discussion -- References -- Supporting the Individuation, Analysis and Gamification of Software Components for Acceptance Requirements Fulfilment -- 1 Introduction -- 2 Motivation and Lessons Learned -- 2.1 Agon Framework -- 2.2 Activities and Lessons Learned. -- 3 SiaGAM Algorithm and Process -- 4 Case Study and Evaluation -- 5 Related Work -- 6 Conclusion -- References -- Modeling Enterprise Architectures -- Historization of Enterprise Architecture Models via Enterprise Architecture Knowledge Graphs -- 1 Introduction -- 2 Background and Related Work -- 2.1 EA Debts and Smells -- 2.2 Graph-Based Analysis of EA Models -- 2.3 Graph Historization -- 3 Toward Historization for EA Models -- 3.1 Graph Structure -- 3.2 Storage -- 3.3 Historization Properties -- 4 Implementation -- 5 Analysis -- 6 Discussion -- 7 Conclusion -- References -- Towards Ontology-Based Validation of EA Principles -- 1 Introduction -- 2 Literature Review.
2.1 Enterprise Architecture Management(EAM) -- 2.2 Formalizing Enterprise Architecture Models -- 2.3 Enterprise Architecture Principles -- 2.4 Formalizing EA Principles -- 2.5 Research Objective -- 3 Research Method -- 4 Automated Ontology-Based Validation of EA Principles -- 4.1 Knowledge in Models and EA Principles -- 4.2 Representing EA Models in an Enterprise Ontology -- 4.3 Representing EA Principles in an Enterprise Ontology -- 5 Step-By-Step Formalization and Validation of EA Principles -- 5.1 Step 1 - Specification of EA Principles -- 5.2 Step 2 - Creation of SBVR Rules -- 5.3 Step 3 - Formalization of the Vocabulary as an Ontology -- 5.4 Step 4 - Extending EA Models and EA Principles with Domain Knowledge -- 5.5 Step 5 - Formalization of the SBVR Rules -- 6 Evaluation -- 6.1 Case Description -- 6.2 Implemented Approach -- 7 Conclusion and Future Work -- References -- Ontological Analysis and Redesign of Security Modeling in ArchiMate -- 1 Introduction -- 2 Security Modeling in Archimate -- 2.1 The Original ArchiMate Risk and Security Overlay -- 2.2 Redesigned Risk Elements of ArchiMate Based on COVER -- 3 Ontological Foundations of Security -- 4 Ontologically-Founded Analysis of Security Modeling -- 5 Redesigning the Security Elements of ArchiMate -- 6 Related Work -- 7 Final Remarks -- References -- Modeling Capabilities and Ecosystems -- Foundations of Capability Maps - A Conceptual Comparison -- 1 Introduction -- 2 Background -- 3 Analytical Model -- 3.1 Overview of the Analytical Model -- 3.2 Conceptualization of a Capability -- 3.3 Conceptualization of a Capability Map -- 3.4 Conceptualization of In-Use Context -- 4 Research Results -- 4.1 The Studied Capability and Capability Map Constructs -- 4.2 Characterization of Capability Constructs -- 4.3 Characterization of Capability Map Constructs -- 4.4 Conceptualization of In-Use Context.
5 Discussion -- 6 Conclusions -- References -- Applying and Evaluating the KYKLOS Method -- 1 Introduction -- 2 Background -- 2.1 Background on Modeling Methods and Evaluation Activities -- 2.2 Overview of KYKLOS -- 3 Methodology -- 4 The Case Study -- 4.1 Case Analysis -- 5 Evaluation Results -- 6 Discussion -- 7 Conclusions -- References -- Using Tangible Modeling to Create an e3value Conceptual Model for Digital Ecosystems -- 1 Introduction -- 2 Related Work -- 3 Relating TED and e3value : Study Design -- 4 The TED Methodology for Ecosystem Design -- 5 The e3value Methodology for Ecosystem Value Modeling -- 6 Relating the TED SM to e3value : The Mobility Platform -- 6.1 Use Case - Digital Platform for Mobility Services -- 6.2 TED SM Model for the Mobility Ecosystem -- 6.3 The e3value Model of the Mobility Ecosystem -- 6.4 Evaluation of the TED SM Model and the e3value Model -- 6.5 Analysis of TED SM Model and e3value Model Correspondences -- 7 Conclusion and Future Work -- References -- DSML and Meta-modeling -- Dynamic Models - The MetaMorph Formalism and Model-Operations -- 1 Introduction -- 2 Background -- 2.1 Related Work -- 2.2 Systematization of Operations - Structural Events and Domain Events -- 2.3 ProVis - Probability Visualized -- 2.4 MetaMorph -- 3 Dynamic Models Through Operations -- 4 The Building Blocks of Domain-Specific Operations - Structural Events -- 5 Language Specific Operations - Domain Events -- 5.1 Creation Phase vs. Operationalization Phase -- 5.2 Lifted Structural Events and Domain Events for Operationalization -- 5.3 Case Study -- 6 Conclusion and Outlook -- References -- Establishing Interoperability Between the EMF and the MSDKVS Metamodeling Platforms*-4pt -- 1 Introduction -- 2 Metamodeling Foundations -- 2.1 EMF -- 2.2 MSDKVS -- 3 Related Work -- 3.1 Transformation Bridges -- 3.2 EMF and Microsoft DSL Tools.
4 Comparative Analysis of EMF and MSDKVS -- 4.1 Abstract Syntax Features -- 4.2 Graphical Concrete Syntax Features -- 5 Transformation Bridge -- 5.1 EMF2MSDKVS -- 5.2 MSDKVS2EMF -- 5.3 MSDKVS2EMF Transformation Example -- 6 Evaluation -- 6.1 Research Questions -- 6.2 Experimental Setup -- 6.3 Results -- 6.4 Limitations -- 7 Conclusion -- References -- Beyond Business Development: Regulatory Assessment of Energy Sector Projects with Contextual Requirements Engineering -- 1 Introduction -- 2 Motivating Scenario -- 3 Requirements and Existing Modeling Approaches -- 3.1 Requirements -- 3.2 Selecting a Modeling Approach -- 4 Modeling the Motivating Scenario -- 5 Discussion -- 5.1 Lessons Learned -- 5.2 Towards Intertwining Regulation and Business Development -- 6 Concluding Outlook -- References -- Participatory Modeling -- A Methodology for DSML-Assisted Participatory Agent-Based Enterprise Modelling -- 1 Introduction -- 2 Case Study -- 3 Agent-Based Modelling Methodologies -- 4 DSML Methodologies -- 5 A Methodology for DSML-Assisted Participatory Agent-Based Modelling -- 5.1 System Analysis -- 5.2 Model Formalisation -- 5.3 Implementation -- 5.4 Evaluation -- 6 Conclusions -- References -- Advantages and Limitations of Experiments for Researching Participatory Enterprise Modeling and Recommendations for Their Implementation*-4pt -- 1 Introduction -- 2 Participatory Enterprise Modeling -- 3 Research Design Options for Examining PEM -- 4 Example Studies on Participatory Enterprise Modeling -- 4.1 Case Studies -- 4.2 Experimental Studies -- 5 Why Experiments on Participatory Modeling? -- 6 Lessons Learned and Recommendations for Future Experiments -- 6.1 The Kind of Model -- 6.2 Time Limits -- 6.3 Modeling Task and Participatory Culture -- 6.4 Who is Modeling? -- 6.5 The Challenges of Online Participatory Modeling.
6.6 Assessing Subjective Perceptions as Dependent Variables -- 6.7 Dealing with Small Sample Sizes -- 6.8 Modeling Experts Might Be Seen as Co-owners -- 6.9 Be Prepared, but Do Not Expect to Be Able to Foresee Everything -- 7 Conclusion -- References -- Designing an Ontology for Human Rights Violations Documentation Through Practitioner Input and Information Infrastructure Theory -- 1 Introduction -- 2 Theoretical Background -- 2.1 The Human Rights Protection System and Technologies -- 2.2 Previous Relevant Ontology Research -- 3 Approach to Develop the Proposed Ontology -- 3.1 Overall Research Framework: Design Science Research -- 3.2 Design Theory: Information Infrastructures -- 4 Requirements Elicitation -- 4.1 Non-functional Requirements Elicitation -- 4.2 Functional Requirements Elicitation -- 4.3 Validation of Requirements -- 5 The Proposed Ontology -- 5.1 Full OntoRights -- 5.2 Simple OntoRights -- 5.3 Demonstration -- 6 Discussion -- 7 Conclusion -- References -- Author Index.
Titolo autorizzato: The practice of enterprise modeling  Visualizza cluster
ISBN: 3-031-21488-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996499856003316
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Serie: Lecture Notes in Business Information Processing Ser.