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キーワード:
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要旨:
As a software system evolves, programmers make changes which sometimes lead to
problems. The risk of later problems significantly depends on the location of
the change. Which are the locations where changes impose the greatest risk?
We introduce a set of automated techniques that relate a version history
archive (such as CVS) with a bus database (such as BUGZILLA) to detect those
locations where changes have been risky in the past. Our experiments show that
simple measures have low accuracy in locating files that are most risky to
change
