Knowledge Representation in Model Driven Approach in Terms of the Zachman Framework

Autor: Anna Suchenia, Piotr Wiśniewski, Antoni Ligęza, Krzysztof Kluza, Joanna Wyrobek
Rok vydání: 2018
Předmět:
Zdroj: Artificial Intelligence and Soft Computing ISBN: 9783319912615
ICAISC (2)
DOI: 10.1007/978-3-319-91262-2_60
Popis: Model driven approach uses distinct models for representing various kinds of complex knowledge. Use of appropriate models allows for taking advantage of formal checking, testing, and validating possibilities available for the models. Although the notations do not provide any design method or software process, this paper offers a step to integrated modeling using them. We present an overview of the existing OMG solutions for knowledge representation used in software engineering, focusing on UML, BPMN, DMN and CMMN models and the diagrams provided by these notations. We perform an analysis of these approaches in terms of Kruchten’s 4+1 view model architecture as well as the Zachman Framework.
Databáze: OpenAIRE