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An Approach to Software Architecture Analysis for Evolution and Reusability

November 1997 White Paper
Sonia Bot (Nortel), Kalai Kalaichelvan (Nortel), Rick Kazman, Chung-Horng Lung (Nortel)

This paper presents an approach to capturing and assessing software architectures for evolution and reuse.

Publisher:

Software Engineering Institute

Abstract

Software evolution and reuse is more likely to receive higher payoff if high-level artifacts—such as architectures and designs—can be reused and can guide low-level component reuse. In practice, however, high-level artifacts are often not appropriately captured. This paper presents an approach to capturing and assessing software architectures for evolution and reuse. The approach consists of a framework for modeling various types of relevant information and a set of architectural views for reengineering, analyzing, and comparing software architectures. We have applied this approach to large-scale telecommunications systems, where the approach is useful to reveal areas for improvement and the potential for reuse.