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Auflistung nach Schlagwort "Domain-specific modeling"

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  • Zeitschriftenartikel
    Enriching Linked Data with Semantics from Domain-Specific Diagrammatic Models
    (Business & Information Systems Engineering: Vol. 58, No. 5, 2016) Buchmann, Robert A.; Karagiannis, Dimitris
    One key driver of the Linked Data paradigm is the ability to lift data graphs from legacy systems by employing various adapters and RDFizers (e.g., D2RQ for relational databases, XLWrap for spreadsheets). Such approaches aim towards removing boundaries of enterprise data silos by opening them to cross-organizational linking within a “Web of Data”. An insufficiently tapped source of machine-readable semantics is the underlying graph nature of diagrammatic conceptual models – a kind of information that is richer compared to what is typically lifted from table schemata, especially when a domain-specific modeling language is employed. The paper advocates an approach to Linked Data enrichment based on a diagrammatic model RDFizer originally developed in the context of the ComVantage FP7 research project. A minimal but illustrative example is provided from which arguments will be generalized, leading to a proposed vision of “conceptual model”-aware information systems.
  • Konferenzbeitrag
    Model-Based and Automated Software Tool Qualification of Domain-Specific Modeling Tools as per RTCA DO-330
    (Software Engineering 2023 Workshops, 2023) Frey, Constantin; Annighoefer, Bjoern
    The use of domain-specific modeling (DSM) in a software life cycle that includes the objectives and activities as per RTCA DO-178C offers a variety of opportunities. With the help of DSM tools, development artefacts can be generated from a system design model. DSM tools that are used in the software life cycle and whose output is not verified require a tool qualification according to RTCA DO-330. This tool qualification is associated with an extensively high effort. Therefore, this paper proposes a model-based and automated approach for tool qualification. Qualification templates should be developed, covering requirements and tests for DSM specific aspects. These template models are instantiated in a qualification model transformation. The result should be qualification artefacts. This approach should greatly reduce the qualification effort. The component in the DSM tool for tool qualification is the Tool Qualification Agent (TQA). First, the concept of the Tool Qualification Agent is presented. Afterwards, the results from a first implementation are analyzed. First requirement templates and a qualification model transformation were developed. Requirements were generated with the qualification model transformation. Although the Tool Qualification Agent so far only covers small parts of the tool qualification, it demonstrates that the concept is feasible.
  • Zeitschriftenartikel
    SWEL: A Domain-Specific Language for Modeling Data-Intensive Workflows
    (Business & Information Systems Engineering: Vol. 66, No. 2, 2024) Salado-Cid, Rubén; Vallecillo, Antonio; Munir, Kamram; Romero, José Raúl
    Data-intensive applications aim at discovering valuable knowledge from large amounts of data coming from real-world sources. Typically, workflow languages are used to specify these applications, and their associated engines enable the execution of the specifications. However, as these applications become commonplace, new challenges arise. Existing workflow languages are normally platform-specific, which severely hinders their interoperability with other languages and execution engines. This also limits their reusability outside the platforms for which they were originally defined. Following the Design Science Research methodology, the paper presents SWEL (Scientific Workflow Execution Language). SWEL is a domain-specific modeling language for the specification of data-intensive workflows that follow the model-driven engineering principles, covering the high-level definition of tasks, information sources, platform requirements, and mappings to the target technologies. SWEL is platform-independent, enables collaboration among data scientists across multiple domains and facilitates interoperability. The evaluation results show that SWEL is suitable enough to represent the concepts and mechanisms of commonly used data-intensive workflows. Moreover, SWEL facilitates the development of related technologies such as editors, tools for exchanging knowledge assets between workflow management systems, and tools for collaborative workflow development.