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Title

Component-based Architecture Reconstruction by Patterns

Author

Shahrouz Moavena, Jafar Habibib, Alireza Parvizi mosaedc, Razie Alidoostid

Citation

Vol. 16  No. 7  pp. 172-180

Abstract

nowadays, software architecture has obtained such a ‎significant role as a foundation in software projects and ‎processes that promoting objectives of software teams and ‎organizations without it is impossible. Therefore, ‎recognizing legacy architectures, processes, and systems, ‎and recovering them for exploiting the benefits of clear ‎and correct software architecture is very important, ‎additionally, exploitation and analysis tools and expert ‎systems should be used to construct architecture in the best ‎way.‎ In this paper, a method is defined which not only uses all ‎existing information to reconstruct software architecture, ‎but also makes use of structural, behavioral and semantic ‎patterns in order to exploit their benefits in reconstructing ‎architecture with better adaptability and compatible with ‎quality attributes. The method by presenting some ‎mechanisms and guidelines that consider patterns, ‎provides users the ability of using it in different domains. ‎Furthermore, the knowledge acquired from different ‎abstraction levels are collected and used to establish ‎knowledge trees and knowledge packages.‎

Keywords

Component, Software Reconstruction, Software Architecture, Architectural Style, Quality Attribute, Knowledge Management

URL

http://paper.ijcsns.org/07_book/201607/20160720.pdf