Using change propagation probabilities to assess quality attributes of software architectures

Document Type

Conference Proceeding

Publication Date

11-14-2006

Abstract

The study of software architectures is gaining importance due to its role in various aspects of software engineering, like product line engineering, component-based software engineering and other emerging paradigms. With the increasing emphasis on design patterns, the traditional practice of ad-hoc software construction is slowly shifting towards pattern-oriented development. Various architectural attributes like error propagation, change propagation, requirements propagation provide a wealth of information about software architectures. In this paper, we show that change propagation probability (CP) is helpful and effective in assessing the design quality of software architectures. We study two different architectures (one that employs patterns versus one that does not) for the same application. We also analyze and compare the change propagation metric with respect to other coupling-based metrics. © 2006 IEEE.

Identifier

33750797410 (Scopus)

ISBN

[1424402123, 9781424402120]

Publication Title

IEEE International Conference on Computer Systems and Applications 2006

First Page

704

Last Page

711

Volume

2006

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