The tool gives more meaningful statistics about test runs during benchmarking, e.g. by running two commands and seeing which performs better.<p>Here is some example output (taken from the slides linked to in the article):<p><pre><code> +------------------------------------------------------------------------------+
| + x |
| + x |
| + + x x x |
| + ++ +++ + x xxx xx x |
|++ ++++++++++++++++++ x x x xxx xxx xxxxx |
|++ ++++++++++++++++++ +++ + ++ xxxxxxxxxx xxxxxxxxxxxxxxxx xx x xx|
| |______MA______| |________A________| |
+------------------------------------------------------------------------------+
N Min Max Median Avg Stddev
x 57 45.62364 46.437353 45.93506 45.951554 0.19060973
+ 57 44.785579 45.534727 45.042576 45.056702 0.16634531
Difference at 95.0% confidence
-0.894852 +/- 0.0656777
-1.94738% +/- 0.142928%
(Student's t, pooled s = 0.178889)</code></pre>