Comparison wordcloud of comments posted during weekends and weekdays. Words on the bottom, in orange, have a higher probability to appear in comments during weekends than words on the top, in green, which have a higher probability to appear in comments during weekdays.
As can be seen from the chart, finding the repair for the mobile friendly problems (phase 3) was the most time consuming, taking up almost 60% of the total time.
From Figure 5, we can see that build script fix generated by our approach takes minimum 2 minutes, maximum 305 minutes and median value of 44 minutes.
From the figure, we can see that for fixed build failures, the patch list has minimum size of 68 and maximum size of 2,245, while median is 486. For non-fixed build failures, patch list minimum, median and maximum are 8, 223 and 1,266 respectively, which are lower than fixable build failure’s patch list.
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For 54.16% of evaluated build failures, our approach cannot generate build fix.
Shown as Figure 6, we illustrate the quality of the repairs generated by SketchFix using an example.
Figure 2 illustrates the distribution of the median number of builds and the number of versions across all CPAN dists in our full data set (the number of dists within each quadrant is shown as well).
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Fig. 1 shows that comments are not evenly distributed over the days of the week.
For both systems we computed the proportion of daily comments made during the night, and the proportion of comments made during a weekend day compared to a weekday.
In Figure 5, the shade of a box indicates the performance value, where blue shades indicate strong performance, red shades indicate weak performance, and the palest (white) shade indicates the performance that a random guessing model would achieve (on average).
![[PukiWiki]](image/wadanyan.png "[PukiWiki]")
