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Auflistung nach Schlagwort "Service selection"

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  • Zeitschriftenartikel
    BoSDL: An Approach to Describe the Business Logic of Software Services in Domain-Specific Terms
    (Business & Information Systems Engineering: Vol. 60, No. 5, 2018) Schlauderer, Sebastian; Overhage, Sven
    Modular SaaS platforms that can flexibly be configured with software services, microservices, and the advent of the API economy provide new opportunities to realize even highly customized solutions in the cloud. The success of such endeavors depends on the ability of consumers to discriminate between offered services and choose those best fulfilling the requirements, though. To facilitate the assessment of services against functional requirements, this article proposes the Business-Oriented Service Description Language (BoSDL). It consists of: (1) a meta-model with rules to describe the business logic, that is, the functionality of a software service from a business-oriented perspective; (2) a textual presentation format based on English natural language; (3) a graphical notation based on the UML. Findings from a controlled experiment indicate that, compared to the state of the art, the information provided with the BoSDL enhances the ability of consumers to judge if software services satisfy existing functional requirements.
  • Zeitschriftenartikel
    Multi User Context-Aware Service Selection for Mobile Environments - A Heuristic Technique
    (Business & Information Systems Engineering: Vol. 60, No. 5, 2018) Bortlik, Michael; Heinrich, Bernd; Mayer, Michael
    Modern service systems build on top of service dominant designs which encompass contextualization (value-in-context) and collaboration (value-in-use) between users and service providers. Processes in this domain often require the consideration of both context information (e.g., location or time of day) and multiple participating users where each user probably has its own preferences and constraints (e.g., restricted overall budget). However, selecting a suitable service provider for each action of a process, especially when some of these actions are conducted together by several users, can be a complex decision problem in multi user context-aware service systems. Consequently, exact approaches are not fit to solve such a service selection problem in appropriate time. Thus, the paper proposes a heuristic technique applying a decomposition of the users’ global constraints and a local service selection. In this way, the aim is to determine a feasible service composition for each participating user while taking the users’ individual preferences and constraints as well as context information into account. The evaluation of the heuristic technique shows, based on a real-world scenario in the tourism domain, that the proposed approach is able to achieve close-to-optimal solutions while efficiently scaling with problem size and therefore can support decision makers in multi user context-aware service systems.