John Krogstie Pořadí knih

This book explores modeling goals to achieve optimal quality in process models, emphasizing the balance of quality considerations across semiotic levels for various purposes. It is based on SEQUAL, a framework that addresses key aspects of model quality. Chapter 1 introduces the theoretical foundations of business processes and modeling, highlighting essential concepts. Chapter 2 discusses model quality in general, with a focus on business process models. Chapter 3 specializes SEQUAL for evaluating the quality of these models. Chapter 4 provides practical examples and case studies demonstrating how to achieve and maintain quality in business process models. Chapter 5 presents a process modeling value framework that illustrates how to secure long-term, higher returns on investment in business and enterprise models. Finally, Chapter 6 summarizes the book's main points and explores the future potential of business process modeling in conjunction with other modeling types. The book targets postgraduate students in computer science, software engineering, and information systems, as well as experienced professionals involved in the development and evolution of process-oriented information systems. Real-world case studies are included to enhance understanding and application of the theoretical concepts discussed.

The SEQUAL framework is central to this textbook, providing a comprehensive approach to assessing the quality of models and modeling languages. It explores various specializations within the generic framework and highlights diverse applications, making it a valuable resource for understanding model quality in different contexts.

This book introduces and describes in detail the SEQUAL framework for understanding the quality of models and modeling languages, including the numerous specializations of the generic framework, and the various ways in which this can be used for different applications. 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 modeling, 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 modeling; predicts future trends in technological development, and discusses how the role of modeling can be envisaged in this landscape.

Enterprise Modeling is the art of externalizing enterprise knowledge, representing its core insights. While beneficial in product design and systems development, a shift in methodologies is essential for modeling to have a more significant impact. Modeling should be as intuitive as drawing, offering robust services for capturing and preserving work-centric knowledge while ensuring reuse. Active Knowledge Modeling (AKM) presents a solution, focusing on discovering, expressing, sharing, and managing enterprise knowledge. It leverages the Web as a medium for knowledge engineering, developing model-based platforms and services. The authors, inventors of AKM, draw from extensive collaboration with scientists and industry practitioners to provide examples, methods, and services that enable innovative work practices. This approach enhances c-business, enterprise design, and lifecycle management. Industry managers and design engineers will recognize the vast potential and benefits of IT-supported distributed design processes. Additionally, researchers in collaborative design environments will find inspiration and numerous examples for future advancements.

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.

The book covers a diverse range of topics in agile software development, focusing on mobile information systems and ontologies. It delves into object types, part-whole relations, and distinctions between de re and de dicto. Key discussions include change detection in ontologies, automatic model translation generation, and the management of instance correspondence in inter-organizational workflows. A case study in the electricity sector assesses the feasibility of IT-enabled networked value constellations. The text also explores behavioral consistency for B2B process integration and information integration, featuring declarative XML data cleaning techniques and personalized ranking methods over distributed collections. Service-oriented architecture is examined through various lenses, including web service discovery, intentional services, and compliance tracking in healthcare. The book discusses the alignment of information systems with organizational strategy, as well as conceptual modeling of privacy-aware web service protocols and automated generation of service level agreements. In requirements management, it introduces methods for deriving product requirements and emphasizes the importance of stakeholder identification for improving software quality. Process modeling is addressed through business artifacts, communication abstractions, and formal verification techniques. Lastly, it highlights participative enterprise mod