The Experts below are selected from a list of 30486 Experts worldwide ranked by ideXlab platform

Dennis Kundisch - One of the best experts on this subject based on the ideXlab platform.

  • a variability model for store oriented software ecosystems an Enterprise Perspective
    International Conference on Service Oriented Computing, 2017
    Co-Authors: Bahar Jazayeri, Olaf Zimmermann, Gregor Engels, Dennis Kundisch
    Abstract:

    Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an Enterprise Perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.

  • ICSOC - A Variability Model for Store-oriented Software Ecosystems: An Enterprise Perspective
    Service-Oriented Computing, 2017
    Co-Authors: Bahar Jazayeri, Olaf Zimmermann, Gregor Engels, Dennis Kundisch
    Abstract:

    Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an Enterprise Perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.

Bahar Jazayeri - One of the best experts on this subject based on the ideXlab platform.

  • a variability model for store oriented software ecosystems an Enterprise Perspective
    International Conference on Service Oriented Computing, 2017
    Co-Authors: Bahar Jazayeri, Olaf Zimmermann, Gregor Engels, Dennis Kundisch
    Abstract:

    Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an Enterprise Perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.

  • ICSOC - A Variability Model for Store-oriented Software Ecosystems: An Enterprise Perspective
    Service-Oriented Computing, 2017
    Co-Authors: Bahar Jazayeri, Olaf Zimmermann, Gregor Engels, Dennis Kundisch
    Abstract:

    Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an Enterprise Perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.

Leonid Churilov - One of the best experts on this subject based on the ideXlab platform.

  • supply chain risk identification with value focused process engineering
    Journal of Operations Management, 2009
    Co-Authors: Dina Neige, Kristia Rotaru, Leonid Churilov
    Abstract:

    Abstract Together with numerous benefits that were brought about by the transition from the silo Enterprise Perspective towards the process-based supply chain view of contemporary business, new sources of risk appeared due to the complex systemic nature of the supply chains. The need to reduce the increased level of supply chain vulnerability has been identified as a key research issue in the domain of supply chain management. In this paper, a novel value-focused process engineering methodology for process-based supply chain risk identification is proposed with the aim to increase value to supply chain members and supply chain as a whole. The proposed methodology is illustrated with a generic supply chain scenario example.

Olaf Zimmermann - One of the best experts on this subject based on the ideXlab platform.

  • a variability model for store oriented software ecosystems an Enterprise Perspective
    International Conference on Service Oriented Computing, 2017
    Co-Authors: Bahar Jazayeri, Olaf Zimmermann, Gregor Engels, Dennis Kundisch
    Abstract:

    Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an Enterprise Perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.

  • ICSOC - A Variability Model for Store-oriented Software Ecosystems: An Enterprise Perspective
    Service-Oriented Computing, 2017
    Co-Authors: Bahar Jazayeri, Olaf Zimmermann, Gregor Engels, Dennis Kundisch
    Abstract:

    Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an Enterprise Perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.

Gregor Engels - One of the best experts on this subject based on the ideXlab platform.

  • a variability model for store oriented software ecosystems an Enterprise Perspective
    International Conference on Service Oriented Computing, 2017
    Co-Authors: Bahar Jazayeri, Olaf Zimmermann, Gregor Engels, Dennis Kundisch
    Abstract:

    Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an Enterprise Perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.

  • ICSOC - A Variability Model for Store-oriented Software Ecosystems: An Enterprise Perspective
    Service-Oriented Computing, 2017
    Co-Authors: Bahar Jazayeri, Olaf Zimmermann, Gregor Engels, Dennis Kundisch
    Abstract:

    Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an Enterprise Perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.