Mining Aspects from Version History
Silvia Breu and Thomas Zimmermann
 
Aspect mining identifies cross-cutting concerns in a program to help migrating it to an aspect-oriented de- sign. Such concerns may not exist from the beginning, but emerge over time. By analysing where developers add code to a program, our history-based aspect mining (HAM) identifies and ranks cross-cutting concerns.
We evaluated the effectiveness of our approach with the history of three open-source projects. HAM scales up to industrial-sized projects: for example, we were able to identify a locking concern that cross-cuts 1284 methods in Eclipse. Additionally, the precision of HAM increases with project size and history; for Eclipse, it reaches 90% for the top-10 candidates.
 
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BibTeX entry: ase2006.bib
ASE 2006
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