Comments (2)
Ya, i'm suffering this behavior too...
Think the thing is that JMH uses 99th percentile to calculate the error-score. And that can lead to a high error if there are few iterations, even if the iterations are yielding the same scores and haven't much derivation. So one remedy would probably to increase forks and iterations... though i'm refrain from that usually because if the results are stable with less iterations/forks i'm trying to safe execution time by not increasing the iterations/forks.
I was a bit hesitant so far to calculate my 'own' error instead of using the 'official' JMH score metric...
However, since we have the original iterations scores we could use min/max. Or we could calculate StdDev and use this...
Thoughts ?
cc @mgledi
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Just inferred min/max from the raw data and used this instead of the confidence interval for displaying the error bar. Like it!
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Related Issues (20)
- sort order of multi run broken HOT 4
- Support for log-scale HOT 6
- Missing parameter labels/names HOT 2
- Rework colors of summary scoreDiff/ErrorDiff chart HOT 1
- Custom Reports
- Error bar isn't centralized HOT 6
- Cannot read property 'forEach' of undefined HOT 2
- Show nano fractions HOT 5
- Comparison chart with bars HOT 7
- Accept jmh files by URL HOT 2
- Doesn't work when source URL is a URL shortener HOT 3
- Issues building on Windows? HOT 1
- Support multi file gists HOT 7
- The order of two input gists is not as specified via URL HOT 1
- dark mode HOT 1
- Add an always-accessible drop zone, instead of Reset & Upload New HOT 1
- Fails on file containing both parameterized and non-parameterized benchmarks HOT 3
- Auto-scroll to benchmark class heading by anchor in URL
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- Support for Docker Image HOT 3
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