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This book covers the whole spectrum of modeling goals to achieve optimal quality in the process model developed. It focuses on how to balance quality considerations across all semiotic levels when models are used for different purposes, and is based on SEQUAL, a framework for understanding the quality of models and modeling languages, which can take into account all main aspects relating to the quality of models. Chapter 1 focuses on the theoretical foundations, introducing readers to the topics of business processes and business process modeling, as well as the most important concept underlying the modeling of business processes. In turn, Chapter 2 addresses the quality of models in general and business process models in particular. Chapter 3 contains a specialization of SEQUAL for quality of business process models. In Chapter 4, examples of the practical uses of business process models are provided, together with the results of detailed case studies on how to achieve and maintain quality in business process models. Chapter 5 presents a process modeling value framework that demonstrates how to achieve more long-term and higher return on investment with regard to (business) process and enterprise models. Lastly, Chapter 6 reviews the main points of the book and discusses the potential for business process modeling in the future through its combination with other types of modeling. The book has two intended audiences. It is primarily intended for computer science, software engineering and information system students at the postgraduate level who want to know more about business process modeling and the quality of models in preparation for professional practice. The second audience consists of professionals with extensive experience in and responsibilities related to the development and evolution of process-oriented information systems and information systems methodologies in general, who need to formalize and structure their practical experience or update their knowledge as a way to improve their professional activity. The book also includes a number of real-world case studies that make it easier to grasp the main theoretical concepts, helping readers apply the approaches described.
Computer science. --- Management information systems. --- Industrial management. --- Software engineering. --- Computer Science. --- Information Systems Applications (incl. Internet). --- Business Process Management. --- Software Engineering. --- Computer software engineering --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Informatics --- Management --- Engineering --- Business --- Industrial organization --- Sociotechnical systems --- Information resources management --- Science --- Communication systems --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software
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There is no single approach to modelling and model-based systems development that is best for all possible situations. Therefore, a high-level overview is needed in order to evaluate the options and identify the optimal approach. This unique textbook/reference introduces and describes in detail the SEQUAL framework for understanding the quality of models and modelling languages, including the numerous specialisations of the generic framework, and the various ways in which this can be used for different applications. Examples are provided from the application of SEQUAL in industrial and governmental settings. Topics and features: Contains case studies, chapter summaries, review questions, problems and exercises throughout the text, in addition to Appendices on terminology and abbreviations Presents a thorough introduction to the most important concepts in conceptual modelling, including the underlying philosophical outlook on the quality of models Describes the basic tasks and model types in information systems development and evolution, and the main methodologies for mixing different phases of information system development Provides an overview of the general mechanisms and perspectives used in conceptual modelling Predicts future trends in technological development, and discusses how the role of modelling can be envisaged in this landscape This didactic guide is essential reading for postgraduate students of computer science, software engineering and information systems wishing to learn more about conceptual modelling in their preparation for professional practice. Developers of information systems will also find the book an ideal reference to support their professional activity. Dr. John Krogstie is a Professor of Information Systems in the Department of Computer and Information Science at the Norwegian University of Science and Technology, Trondheim, Norway.
Computer simulation. --- Model-integrated computing. --- Engineering & Applied Sciences --- Computer Science --- MIC (Model-integrated computing) --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Computer science. --- Information technology. --- Business --- Management information systems. --- Computer Science. --- Simulation and Modeling. --- Management of Computing and Information Systems. --- IT in Business. --- Data processing. --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Software engineering --- Computer simulation --- Information Systems. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Communication systems
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Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- bedrijfseconomie --- vormgeving --- simulaties --- informatica management
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This book covers the whole spectrum of modeling goals to achieve optimal quality in the process model developed. It focuses on how to balance quality considerations across all semiotic levels when models are used for different purposes, and is based on SEQUAL, a framework for understanding the quality of models and modeling languages, which can take into account all main aspects relating to the quality of models. Chapter 1 focuses on the theoretical foundations, introducing readers to the topics of business processes and business process modeling, as well as the most important concept underlying the modeling of business processes. In turn, Chapter 2 addresses the quality of models in general and business process models in particular. Chapter 3 contains a specialization of SEQUAL for quality of business process models. In Chapter 4, examples of the practical uses of business process models are provided, together with the results of detailed case studies on how to achieve and maintain quality in business process models. Chapter 5 presents a process modeling value framework that demonstrates how to achieve more long-term and higher return on investment with regard to (business) process and enterprise models. Lastly, Chapter 6 reviews the main points of the book and discusses the potential for business process modeling in the future through its combination with other types of modeling. The book has two intended audiences. It is primarily intended for computer science, software engineering and information system students at the postgraduate level who want to know more about business process modeling and the quality of models in preparation for professional practice. The second audience consists of professionals with extensive experience in and responsibilities related to the development and evolution of process-oriented information systems and information systems methodologies in general, who need to formalize and structure their practical experience or update their knowledge as a way to improve their professional activity. The book also includes a number of real-world case studies that make it easier to grasp the main theoretical concepts, helping readers apply the approaches described.
Methodology of economics --- Business management --- Business economics --- Computer science --- Programming --- Information systems --- Computer. Automation --- financieel management --- MIS (management informatie systeem) --- computers --- informatiesystemen --- organisatiecultuur --- software engineering --- computerkunde
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Enterprise Modeling has been defined as the art of externalizing enterprise knowledge, i.e., representing the core knowledge of the enterprise. Although useful in product design and systems development, for modeling and model-based approaches to have a more profound effect, a shift in modeling approaches and methodologies is necessary. Modeling should become as natural as drawing, sketching and scribbling, and should provide powerful services for capturing work-centric, work-supporting and generative knowledge, for preserving context and ensuring reuse. A solution is the application of Active Knowledge Modeling (AKM). The AKM technology is about discovering, externalizing, expressing, representing, sharing, exploring, configuring, activating, growing and managing enterprise knowledge. An AKM solution is about exploiting the Web as a knowledge engineering medium, and developing knowledge-model-based families of platforms, model-configured workplaces and services. This book was written by the inventors of AKM arising out of their cooperation with both scientists and industrial practitioners over a long period of time, and the authors give examples, directions, methods and services to enable new ways of working, exploiting the AKM approach to enable effective c-business, enterprise design and development, and lifecycle management. Industry managers and design engineers will become aware of the manifold possibilities of, and added values in, IT-supported distributed design processes, and researchers for collaborative design environments will find lots of stimulation and many examples for future developments.
Business planning --- Information modeling. --- Simulation methods. --- Business enterprises --- Business plans --- Corporate planning --- Corporate strategy --- Corporations --- Strategy, Corporate --- Planning --- Strategic planning --- Modeling, Information --- System analysis --- Information Technology --- Software Engineering --- Software engineering. --- Information technology. --- Information Systems. --- Software Engineering. --- IT in Business. --- Information Systems Applications (incl. Internet). --- Management of Computing and Information Systems. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Computer software engineering --- Engineering --- Business—Data processing. --- Application software. --- Management information systems. --- Computer science. --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Communication systems
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This book constitutes the refereed proceedings of the 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018, held in Talinn, Estonia, in June 2018. The 37 papers presented in this volume were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on Process Execution, User-Oriented IS Development, Social Computing and Personalization, the Cloud and Data Services, Process Discovery, Decisions and the Blockchain, Process and Multi-level Modelling, Data Management and Visualization, Big Data and Intelligence, Data Modelling and Mining, Quality Requirements and Software, and Tutorials. .
Computer science. --- Computer system failures. --- Software engineering. --- Database management. --- Data mining. --- User interfaces (Computer systems). --- Computer Science. --- Information Systems Applications (incl. Internet). --- Data Mining and Knowledge Discovery. --- Database Management. --- Software Engineering. --- System Performance and Evaluation. --- User Interfaces and Human Computer Interaction. --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Computer software engineering --- Engineering --- Computer failures --- Computer malfunctions --- Computer systems --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Informatics --- Science --- Failures --- Computer system performance. --- Management information systems --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software
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There is no single approach to modelling and model-based systems development that is best for all possible situations. Therefore, a high-level overview is needed in order to evaluate the options and identify the optimal approach. This unique textbook/reference introduces and describes in detail the SEQUAL framework for understanding the quality of models and modelling languages, including the numerous specialisations of the generic framework, and the various ways in which this can be used for different applications. Examples are provided from the application of SEQUAL in industrial and governmental settings. Topics and features: Contains case studies, chapter summaries, review questions, problems and exercises throughout the text, in addition to Appendices on terminology and abbreviations Presents a thorough introduction to the most important concepts in conceptual modelling, including the underlying philosophical outlook on the quality of models Describes the basic tasks and model types in information systems development and evolution, and the main methodologies for mixing different phases of information system development Provides an overview of the general mechanisms and perspectives used in conceptual modelling Predicts future trends in technological development, and discusses how the role of modelling can be envisaged in this landscape This didactic guide is essential reading for postgraduate students of computer science, software engineering and information systems wishing to learn more about conceptual modelling in their preparation for professional practice. Developers of information systems will also find the book an ideal reference to support their professional activity. Dr. John Krogstie is a Professor of Information Systems in the Department of Computer and Information Science at the Norwegian University of Science and Technology, Trondheim, Norway.
Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- bedrijfseconomie --- vormgeving --- simulaties --- informatica management
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Conceptual modeling has always been one of the cornerstones for information systems engineering as it describes the general knowledge of the system in the so-called conceptual schema. Krogstie, Opdahl and Brinkkemper compiled 20 contributions from renowned researchers covering all aspects of conceptual modeling on the occasion of Arne Sølvberg’s 67th birthday. Many friends of this information systems modeling pioneer happily contributed their latest research results from fields like data modeling, goal-oriented modeling, agent-oriented modeling, and process-oriented modeling. Overall, the contributions reflect the most important developments and application areas of conceptual modeling in recent years, and they also pinpoint trends in conceptual modeling for the next decade. This wide selection corresponds to the broad spectrum of Arne’s activities and long-term responsibilities with the VLDB Endowment, IFIP, and ERCIM. Arne was presented with this book at CAiSE 2007, when the event which he cofounded in 1989 returned to his hometown of Trondheim.
System design. --- System analysis. --- Network analysis --- Network science --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Design, System --- Systems design --- Electronic data processing --- System analysis --- Software engineering. --- Computer science. --- Software Engineering. --- Models and Principles. --- Information Systems Applications (incl. Internet). --- Informatics --- Science --- Computer software engineering --- Engineering --- Computers. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace
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