Abstract | ||
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How to compose prefabricated components is a key issue in component-based reuse. Research on Software Architecture (SA) and
Component-based Software Development (CBSD) provides two hopeful solutions from different perspectives. SA provides a top-down
approach to realizing component-based reuse. However, it pays insufficient attention to the refinement and implementation
of the architectural descriptions, and does not provide the necessary capability to automate the transformation or composition
to form a final executable application. CBSD provides a bottom-up way by using existing middleware infrastructures. However,
these technologies do not take into account the systematic methodology that can guide the CBSD process, especially the component
composition at higher abstract levels. We argue that it is a natural solution to combine these two approaches.
In this paper, an architecture-based component composition approach is presented. In this way, SA description, using mapping
rules and mini-tools to narrow the gap between design and implementation, is used as the blueprint and middleware technology
as the runtime scaffold for component composition. Our approach presents an ADL, which supports user-defined connectors and
has an extensible framework, to specify software architectures. To map a SA description into implementation, it is necessary
to map it first to an OO design model described in UML, then to the final implementation. The architectural description can
be mapped into source code or executable code by using some ORB conforming to CORBA standard. Also a toolkit is provided to
support this approach efficiently. |
Year | DOI | Venue |
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2001 | 10.1007/BF02713972 | Science in China Series F: Information Sciences |
Keywords | DocType | Volume |
software component,bottom up,software architecture,source code,component based software development,middleware,top down | Journal | 44 |
Issue | Citations | PageRank |
2 | 16 | 1.93 |
References | Authors | |
10 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hong Mei | 1 | 3535 | 219.36 |
Jichuan Chang | 2 | 547 | 26.22 |
Fuqing Yang | 3 | 359 | 25.76 |