Print Email Facebook Twitter A common framework for aspect mining based on crosscutting concern sorts Title A common framework for aspect mining based on crosscutting concern sorts Author Marin, M. Moonen, L. Van Deursen, A. Faculty Electrical Engineering, Mathematics and Computer Science Department Software Technology Date 2006-12-31 Abstract The increasing number of aspect mining techniques proposed in literature calls for a methodological way of comparing and combining them in order to assess, and improve on, their quality. This paper addresses this situation by proposing a common framework based on crosscutting concern sorts which allows for consistent assessment, comparison and combination of aspect mining techniques. The framework identifies a set of requirements that ensure homogeneity in formulating the mining goals, presenting the results and assessing their quality. We demonstrate feasibility of the approach by retrofitting an existing aspect mining technique to the framework, and by using it to design and implement two new mining techniques. We apply the three techniques to a known aspect mining benchmark and show how they can be consistently assessed and combined to increase the quality of the results. The techniques and combinations are implemented in FINT, our publicly available free aspect mining tool. To reference this document use: http://resolver.tudelft.nl/uuid:dd72c7bc-011a-4851-99c3-427d356e2665 Publisher Delft University of Technology, Software Engineering Research Group ISSN 1872-5392 Source Technical Report Series TUD-SERG-2006-009 Part of collection Institutional Repository Document type report Rights © 2006 The Author(s) . Software Engineering Research Group, Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology Files PDF 0606113.pdf 359 KB Close viewer /islandora/object/uuid:dd72c7bc-011a-4851-99c3-427d356e2665/datastream/OBJ/view