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Published Articles >> Table of Contents >> Abstract
21st IEEE International Conference on Automated Software Engineering (ASE'06)
pp. 221-230
Mining Aspects from Version History
Silvia Breu, University of Cambridge, UK
Thomas Zimmermann, Saarland University, Germany
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASE.2006.50
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| Abstract |
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Aspect mining identifies cross-cutting concerns in a
program to help migrating it to an aspect-oriented design.
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 1 284
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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 Additional Information
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Citation:
Silvia Breu, Thomas Zimmermann,
"Mining Aspects from Version History,"
ase,
pp. 221-230,
21st IEEE International Conference on Automated Software Engineering (ASE'06),
2006
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