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This metric measures the number of file re-commits that have occurred below
this location in the tree. A re-commit is taken to mean a commit to a file
that was touched less than five days ago.
</p>
<p>
In a system that is being developed using a controlled change process (where
changes are not committed until they are in some sense 'complete'), re-commits
can be (but are not always) an indication that an initial change was not
successful and had to be revisited within a short time period. The intuition
is that the original change may have been difficult to get right, and hence
the code in the file may be more than usually defect-prone. The concept is
somewhat similar to that of 'change bursts', as described in [Nagappan].
</p>
</overview>
<recommendation>
<p>
High numbers of re-commits can be addressed on two levels: preventative and
corrective.
</p>
<ul>
<li>
On the preventative side, a high number of re-commits may be an indication
that your code review process needs an overhaul.
</li>
<li>
On the corrective side, code that has experienced a high number of re-commits
should be vigorously code reviewed and tested.
</li>
</ul>
</recommendation>
<references>
<li>
N. Nagappan et al. <em>Change Bursts as Defect Predictors</em>. In Proceedings of the 21st IEEE International Symposium on Software Reliability Engineering, 2010.