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A Generative Style-driven Framework for Software Architecture Design
Greenbelt, Maryland April 06-April 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SEW.2005.1329th Annual IEEE/NASA Software Engine ...
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Jun KONG, The University of Texas at Dallas, Richardson TX
Kang ZHANG, The University of Texas at Dallas, Richardson TX
Jing DONG, The University of Texas at Dallas, Richardson TX
Guanglei SONG, The University of Texas at Dallas, Richardson TX

Compared with texts, graphs are more intuitive to express comparative and structural information. Many graphical approaches, however, lack a formal basis for precise specifications in the design. This paper proposes a generative style-driven framework for software architecture specification based on a visual language formalism. In this framework, the designer uses graphical notations to define architectural styles. Given the graphical specifications, a visual language generator, i.e. a meta-tool, can automatically generate a specific design environment, which is suitable for the users without any knowledge of formal methods to directly manipulate software architectures by drawing box-line graphs. The graph transformation engine underlying the design environment can automatically validate structural integrity and reveal the hierarchical structure of a user-defined software architecture.

Citation:
Jun KONG, Kang ZHANG, Jing DONG, Guanglei SONG, "A Generative Style-driven Framework for Software Architecture Design," sew, pp.173-182, 29th Annual IEEE/NASA Software Engineering Workshop, 2005
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