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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Isa Yuan 
    • Abstracting/ Indexing:  CNKI,  Google Scholar, Crossref, EBSCO  etc.
    • E-mail: ijet_Editor@126.com
IJET 2014 Vol.6(2): 123-127
doi: 10.7763/IJET.2014.V6.679

An Approach of Software Architectural Styles Detection Using Graph Grammar

Songpon Thongkum , Wiwat Vatanawood

  • the Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University Bangkok, Thailand

Abstract

One of the challenging problems in software design is to evaluate the risks using the architectural styles.With the help of the architectural styles, it is able to reveal some potential design problems which do not conform to the non-functional requirements. The detection of a software architectural style is typically done by hand and it is a tedious work. However, there are still some ongoing researches on the automatic detection of the software architectural styles. In this paper, we propose an alternative scheme of the architectural styles detection using the reduction steps of a graph grammar. The definition of the context sensitive graph grammar and its derivation and reduction steps is extended and proposed to represent the typical components, interfaces and links in the software architectural model written in xADL. The xADL is one of the popular architectural description languages ever used. A case study of repository style detection scheme is demonstrated. The resulting derivation and reduction of the specific graph grammar show the valid parsability of the graph.

Keywords

  • Software architecture
  • xADL
  • detection architecture
  • graph grammar
679-W00036

How to Cite

Copied

Songpon Thongkum and Wiwat Vatanawood, "An Approach of Software Architectural Styles Detection Using Graph Grammar," International Journal of Engineering and Technology, vol. 6, no. 2, pp. 123-127, 2014. https://doi.org/ 10.7763/IJET.2014.V6.679

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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