The Experts below are selected from a list of 568710 Experts worldwide ranked by ideXlab platform
Muhammad Ali Babar - One of the best experts on this subject based on the ideXlab platform.
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supporting customizable architectural design Decision Management
Engineering of Computer-Based Systems, 2010Co-Authors: Lianping Chen, Muhammad Ali BabarAbstract:When engineering complex software systems, the key Architectural Design Decisions (ADD) and the reasoning underlying those Decisions need to be fully understood by all stakeholders. Achieving such understanding usually requires the use of ADD Management tools. Most existing ADD Management tools apply prescriptive ADD models and do not provide sufficient customizability. However, forcing architects to follow an ADD model that does not fit their specific needs can cause significant problems (e.g., extra cost is needed, and architects’ willingness and motivation can negatively be affected). This research project aims at solving this issue by developing a highly customizable solution, which can enable practitioners to define ADD models according to their preferences and working situations. The detailed needs for ADD model customization will be identified by multiple case studies and semi-structured interviews; the proposed solution will be evaluated using different empirical research methods.
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ECBS - Supporting Customizable Architectural Design Decision Management
2010 17th IEEE International Conference and Workshops on Engineering of Computer Based Systems, 2010Co-Authors: Lianping Chen, Muhammad Ali BabarAbstract:When engineering complex software systems, the key Architectural Design Decisions (ADD) and the reasoning underlying those Decisions need to be fully understood by all stakeholders. Achieving such understanding usually requires the use of ADD Management tools. Most existing ADD Management tools apply prescriptive ADD models and do not provide sufficient customizability. However, forcing architects to follow an ADD model that does not fit their specific needs can cause significant problems (e.g., extra cost is needed, and architects’ willingness and motivation can negatively be affected). This research project aims at solving this issue by developing a highly customizable solution, which can enable practitioners to define ADD models according to their preferences and working situations. The detailed needs for ADD model customization will be identified by multiple case studies and semi-structured interviews; the proposed solution will be evaluated using different empirical research methods.
Lianping Chen - One of the best experts on this subject based on the ideXlab platform.
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supporting customizable architectural design Decision Management
Engineering of Computer-Based Systems, 2010Co-Authors: Lianping Chen, Muhammad Ali BabarAbstract:When engineering complex software systems, the key Architectural Design Decisions (ADD) and the reasoning underlying those Decisions need to be fully understood by all stakeholders. Achieving such understanding usually requires the use of ADD Management tools. Most existing ADD Management tools apply prescriptive ADD models and do not provide sufficient customizability. However, forcing architects to follow an ADD model that does not fit their specific needs can cause significant problems (e.g., extra cost is needed, and architects’ willingness and motivation can negatively be affected). This research project aims at solving this issue by developing a highly customizable solution, which can enable practitioners to define ADD models according to their preferences and working situations. The detailed needs for ADD model customization will be identified by multiple case studies and semi-structured interviews; the proposed solution will be evaluated using different empirical research methods.
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ECBS - Supporting Customizable Architectural Design Decision Management
2010 17th IEEE International Conference and Workshops on Engineering of Computer Based Systems, 2010Co-Authors: Lianping Chen, Muhammad Ali BabarAbstract:When engineering complex software systems, the key Architectural Design Decisions (ADD) and the reasoning underlying those Decisions need to be fully understood by all stakeholders. Achieving such understanding usually requires the use of ADD Management tools. Most existing ADD Management tools apply prescriptive ADD models and do not provide sufficient customizability. However, forcing architects to follow an ADD model that does not fit their specific needs can cause significant problems (e.g., extra cost is needed, and architects’ willingness and motivation can negatively be affected). This research project aims at solving this issue by developing a highly customizable solution, which can enable practitioners to define ADD models according to their preferences and working situations. The detailed needs for ADD model customization will be identified by multiple case studies and semi-structured interviews; the proposed solution will be evaluated using different empirical research methods.
D. T. Barnard - One of the best experts on this subject based on the ideXlab platform.
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An integrated representational architecture for a Decision Management system
Data & Knowledge Engineering, 1991Co-Authors: A. R. Reuber, D. T. BarnardAbstract:Abstract This paper describes a generic representational architecture to be used as the underlying framework for Decision Management systems. The architecture explicitly takes into account the information requirements of a wide variety of models of organizational Decision making. As well as describing the architecture and its relationship to the organizational theory literature, the paper also examines the methodological issues surrounding its design, and illustrates its integrative capabilities through two examples of published Decision situations.
Zhang Jing-zhou - One of the best experts on this subject based on the ideXlab platform.
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Research and Design of Architecture Design Decision Management Tool
Computer Engineering, 2010Co-Authors: Zhang Jing-zhouAbstract:Architecture design Decisions are implicitly embedded in final architecture artifacts in current design process,which leads to difficult communication among stakeholders,high cost of software evolution and hard to reuse architectural Decisions.Aiming at the problems,this paper proposes a meta-model of architecture design Decision by analyzing its attributes and Decision-making process,and a Management tool design is brought forward,which combines the codification and personalization strategies to achieve explicit documentation,Management and reuse of architecture design Decisions.
Alfred Zimmermann - One of the best experts on this subject based on the ideXlab platform.
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KES - Intelligent Decision Management for Architecting Service-Dominant Digital Products
Procedia Computer Science, 2019Co-Authors: Alfred Zimmermann, Kurt Sandkuhl, Rainer Schmidt, Dierk JugelAbstract:Abstract New business opportunities appeared using the potential of the Internet and related digital technologies, like the Internet of Things, services computing, artificial intelligence, cloud, edge, and fog computing, social networks, big data with analytics, mobile systems, collaboration networks, and cyber-physical systems. Companies are transforming their strategy and product base, as well as their culture, processes and information systems to adopt digital transformation or to approach for digital leadership. Digitalization fosters the development of IT environments with many rather small and distributed structures, like the Internet of Things, Microservices, or other micro-granular elements. Digitalization has a substantial impact for architecting the open and complex world of highly distributed digital services and products, as part of a new digital enterprise architecture, which structure and direct service-dominant digital products and services. The present research paper investigates mechanisms for supporting the evolution of digital enterprise architectures with user-friendly methods and instruments of interaction, visualization, and intelligent Decision Management during the exploration of multiple and interconnected perspectives by an architecture Management cockpit.
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EDOC Workshops - Decision Management for Micro-Granular Digital Architecture
2017 IEEE 21st International Enterprise Distributed Object Computing Workshop (EDOCW), 2017Co-Authors: Alfred Zimmermann, Dierk Jugel, Justus Bogner, Kurt Sandkuhl, Rainer Schmidt, Michael MöhringAbstract:Digitization fosters the development of IT environments with many rather small structures, like Internet of Things (IoT), Microservices, or mobility systems. They are needed to support flexible and agile digitized products and services. The goal is to create service-oriented enterprise architectures (EA) that are self-optimizing and resilient. The present research paper investigates methods for Decision-making concerning digitization architectures for Internet of Things and Microservices. They are based on evolving enterprise architecture reference models and state of the art elements for architectural engineering for micro-granular systems. Decision analytics in this field becomes increasingly complex and Decision support, particularly for the development and evolution of sustainable enterprise architectures, is sorely needed. The challenging of the Decision processes can be supported with in a more flexible and intuitive way by an architecture Management cockpit.
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architectural Decision Management for digital transformation of products and services
Complex Systems Informatics and Modeling Quarterly, 2016Co-Authors: Alfred Zimmermann, Dierk Jugel, Kurt Sandkuhl, Rainer Schmidt, Christian M Schweda, Michael MöhringAbstract:The digitization of our society changes the way we live, work, learn, communicate, and collaborate. The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility systems, A ...
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Multi-Perspective Decision Management for Digitization Architecture and Governance
2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), 2016Co-Authors: Alfred Zimmermann, Dierk Jugel, Justus Bogner, Kurt Sandkuhl, Rainer Schmidt, Stefan KehrerAbstract:The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility S ystems, Analytics for Big Data, and Cloudenvironments are emerging to support smart connected i.e. digital products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self- optimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented digitization architectures. We are investigatingmechanismsforflexibleadaptationandevolution of information systems with digital architecture in the context of the ongoing digital transformation. Our aim is to support flexibility and agile transformation for both business and related information systems through adaptation and dynamical evolution of their digital architectures. The present research paper investigates mechanisms of Decision analytics for digitization architectures, putting a spotlight to Internet of Things architectures, by extending original enterprise architecture reference models with digitization architectures andtheirmulti- perspective architectural Decision Management.
