Print Email Facebook Twitter Applying and combining three different aspect mining techniques Title Applying and combining three different aspect mining techniques Author Ceccato, M. Marin, M. Mens, K. Moonen, L. Tonella, P. Tourwé, T. Faculty Electrical Engineering, Mathematics and Computer Science Department Software Technology Date 2006-12-31 Abstract Understanding a software system at source-code level requires understanding the different concerns that it addresses, which in turn requires a way to identify these concerns in the source code. Whereas some concerns are explicitly represented by program entities (like classes, methods and variables) and thus are easy to identify, crosscutting concerns are not captured by a single program entity but are scattered over many program entities and are tangled with the other concerns. Because of their crosscutting nature, such crosscutting concerns are difficult to identify, and reduce the understandability of the system as a whole. In this paper, we report on a combined experiment in which we try to identify crosscutting concerns in the JHotDraw framework automatically. We first apply three independently developed aspect mining techniques to JHotDraw and evaluate and compare their results. Based on this analysis, we present three interesting combinations of these three techniques, and show how these combinations provide a more complete coverage of the detected concerns as compared to the original techniques individually. Our results are a first step towards improving the understandability of a system that contains crosscutting concerns, and can be used as a basis for refactoring the identified crosscutting concerns into aspects. To reference this document use: http://resolver.tudelft.nl/uuid:d88f9271-7814-499d-89d5-23be6e758496 Publisher Delft University of Technology, Software Engineering Research Group ISSN 1872-5392 Source Technical Report Series TUD-SERG-2006-002 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 0607006.pdf 336.11 KB Close viewer /islandora/object/uuid:d88f9271-7814-499d-89d5-23be6e758496/datastream/OBJ/view