A Probabilistic Approach to Evaluating Early Aspects
نویسندگان
چکیده
The paper proposes a semi-automated approach for supporting decision making during early aspect identification. A probabilistic trace retrieval tool is used to dynamically generate links between potential aspects initially identified through subgoals and operationalizations in a Softgoal Interdependency Graph, and artifacts representing early functional descriptions of the system. The user evaluates the links to determine if they impact the system as cross-cutting concerns that could be modeled as aspects. An example is used to illustrate the proposed approach.
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تاریخ انتشار 2005