Affiliation:
1. McGill University, Montreal, QC, Canada
2. University of British Columbia, Vancouver, BC, Canada
Abstract
A software modification task often addresses several
concerns
. A concern is anything a stakeholder may want to consider as a conceptual unit, including features, nonfunctional requirements, and design idioms. In many cases, the source code implementing a concern is not encapsulated in a single programming language module, and is instead scattered and tangled throughout a system. Inadequate separation of concerns increases the difficulty of evolving software in a correct and cost-effective manner. To make it easier to modify concerns that are not well modularized, we propose an approach in which the implementation of concerns is documented in artifacts, called concern graphs. Concern graphs are abstract models that describe which parts of the source code are relevant to different concerns. We present a formal model for concern graphs and the tool support we developed to enable software developers to create and use concern graphs during software evolution tasks. We report on five empirical studies, providing evidence that concern graphs support views and operations that facilitate the task of modifying the code implementing scattered concerns, are cost-effective to create and use, and robust enough to be used with different versions of a software system.
Publisher
Association for Computing Machinery (ACM)
Cited by
100 articles.
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