A generative style-driven framework for software architecture design

Jun Kong; Kang Zhang; Jing Dong; Guanglei Song

doi:10.1109/SEW.2005.13

A generative style-driven framework for software architecture design

Jun Kong^*, Kang Zhang, Jing Dong, Guanglei Song

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

3 Citations (Scopus)

Abstract

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-toot, 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.

Original language	English
Title of host publication	Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05
Pages	173-182
Number of pages	10
DOIs	https://doi.org/10.1109/SEW.2005.13
Publication status	Published - 2005
Externally published	Yes
Event	2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05 - Greenbelt, MD, United States Duration: 6 Apr 2005 → 7 Apr 2005

Publication series

Name	Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05
Volume	2005

Conference

Conference	2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05
Country/Territory	United States
City	Greenbelt, MD
Period	6/04/05 → 7/04/05

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10.1109/SEW.2005.13

Cite this

Kong, J., Zhang, K., Dong, J., & Song, G. (2005). A generative style-driven framework for software architecture design. In Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05 (pp. 173-182). Article 1521205 (Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05; Vol. 2005). https://doi.org/10.1109/SEW.2005.13

@inproceedings{ff2fc76470b848e1921a8bd80149bbfb,

title = "A generative style-driven framework for software architecture design",

abstract = "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-toot, 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.",

author = "Jun Kong and Kang Zhang and Jing Dong and Guanglei Song",

year = "2005",

doi = "10.1109/SEW.2005.13",

language = "English",

isbn = "0769523064",

series = "Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05",

pages = "173--182",

booktitle = "Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05",

note = "2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05 ; Conference date: 06-04-2005 Through 07-04-2005",

}

Kong, J, Zhang, K, Dong, J & Song, G 2005, A generative style-driven framework for software architecture design. in Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05., 1521205, Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05, vol. 2005, pp. 173-182, 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05, Greenbelt, MD, United States, 6/04/05. https://doi.org/10.1109/SEW.2005.13

A generative style-driven framework for software architecture design. / Kong, Jun; Zhang, Kang; Dong, Jing et al.
Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05. 2005. p. 173-182 1521205 (Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05; Vol. 2005).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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AB - 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-toot, 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.

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DO - 10.1109/SEW.2005.13

M3 - Conference Paper published in a book

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BT - Proceedings of the 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05

T2 - 2005 29th Annual IEEE/NASA Software Engineering Workshop, SEW'05

Y2 - 6 April 2005 through 7 April 2005

ER -

A generative style-driven framework for software architecture design

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