Towards Evaluation of Aspect Mining
نویسندگان
چکیده
Identifying and analyzing aspectual requirements manually is very resource intensive due to the broadly scoped nature of aspects and the large volumes and ambiguity of requirements elicitation data. In this paper we present an evaluation of EA-Miner – a requirements-level aspect identification tool. The tool is evaluated by comparing the performance of an analyst using the tool with that of carrying out the same tasks manually. To obtain objective results, the evaluation is repeated for three case studies of various sizes. Our evaluation demonstrates the high degree of accuracy provided by EA-Miner and the considerable reduction in time and effort afforded by it.
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