Capability-oriented Architectural Analysis Method Based on Fuzzy Description Logic

Zhang Tingting1, Liu Xiaoming2, Wang Zhixue2 and Dong Qingchao3

  1. Software Engineering Department PLA University of Science and Technology
    210017 JiangSu, NanJing, China
    zhangtings@sohu.com
  2. Technology of Command and Control Department, PLA University of Science and Technology
    210017 JiangSu, NanJing, China
  3. Naval Aeronautical and Astronautical University
    264000 YanTai, China

Abstract

A number of problems may arise from architectural requirements modeling, including alignment of it with business strategy, model integration and handling the uncertain and vague information. The paper introduces a method for modeling architectural requirements in a way of ontology-based and capability-oriented requirements elicitation. The requirements can be modeled within a three-layer framework. The Capability Meta-concept Framework is provided at the top level. The domain experts can capture the domain knowledge within the framework, forming the domain ontology at the second level. The domain concepts can be used for extending the UML to produce a domain-specific modeling language. A fuzzy UML is introduced to model the vague and uncertain features of the capability requirements. An algorithm is provided to transform the fuzzy UML models into the fuzzy Description Logics ontology for model verification. A case study is given to demonstrate the applicability of the method.

Key words

Description Logics; Enterprise Architecture; Fuzzy UML; Fuzzy Model Checking; Ontology

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS150222046T

Publication information

Volume 13, Issue 1 (January 2016)
Year of Publication: 2016
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Tingting, Z., Xiaoming, L., Zhixue, W., Qingchao, D.: Capability-oriented Architectural Analysis Method Based on Fuzzy Description Logic. Computer Science and Information Systems, Vol. 13, No. 1, 287–308. (2016), https://doi.org/10.2298/CSIS150222046T