Identifying Crosscutting Concerns Using Fan-in Analysis

Title

Identifying Crosscutting Concerns Using Fan-in Analysis

 Author

Marin, M.
Van Deursen, A.
Moonen, L.

Faculty

Electrical Engineering, Mathematics and Computer Science

 Department

Software Technology

 Date

2006-12-31

 Abstract

Aspect mining is a reverse engineering process that aims at finding crosscutting concerns in existing systems. This paper proposes an aspect mining approach based on determining methods that are called from many different places, and hence have a high fan-in, which can be seen as a symptom of crosscutting functionality. The approach is semi-automatic, and consists of three steps: metric calculation, method filtering, and call site analysis. Carrying out these steps is an interactive process supported by an Eclipse plug-in called FINT. Fan-in analysis has been applied to three open source Java systems, totaling around 200,000 lines of code. The most interesting concerns identified are discussed in detail, which includes several concerns not previously discussed in the aspect-oriented literature. The results show that a significant number of crosscutting concerns can be recognized using fan-in analysis, and each of the three steps can be supported by tools. Preprint accepted for publication in Accepted for publication in Transactions on Software Engineering and Methodology (TOSEM), 2007, ACM

 To reference this document use:

http://resolver.tudelft.nl/uuid:03f6a447-ff0f-4c76-9104-712843cf234f

 Publisher

Delft University of Technology, Software Engineering Research Group

 ISSN

1872-5392

 Source

Technical Report Series TUD-SERG-2006-013

 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
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