You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
Repository navigation
[Perf] Linux/x64: 1 Improvement on 6/2/2026 10:24:00 PM +00:00 #74255
Summary: All reported changes appear to be measurement noise. The single test (System.Linq.Tests.Perf_Enumerable.SingleWithPredicate_FirstElementMatches) shows a -65% raw delta but historical CV is 76.6% with extreme variance from spike clusters, placing the change well within normal fluctuation (z=-0.94, adaptive threshold 153%). Finding confidence 4/5 (strong historical data, 291 runs), improvement confidence 1/5 (classified as noise).
Finding Confidence: 4/5 (analysis accuracy) Improvement Confidence: 1/5 (likelihood of true improvement) ⚠️Assessment: Likely noise - recommend closing or monitoring for recurrence.
🤖 Proposed Next Actions: Likely noise — close & label — 3 proposed (rule R1_all_noise — see Full Analysis for the table).
📊 Full Analysis (click to expand)
Summary: All reported changes appear to be measurement noise. The single test (System.Linq.Tests.Perf_Enumerable.SingleWithPredicate_FirstElementMatches) shows a -65% raw delta but historical CV is 76.6% with extreme variance from spike clusters, placing the change well within normal fluctuation (z=-0.94, adaptive threshold 153%). Finding confidence 4/5 (strong historical data, 291 runs), improvement confidence 1/5 (classified as noise).
Rationale: Despite a large raw delta of -65.4%, the absolute z-score (0.94) is well below the significance threshold of 2.0, and the percent change is far below the adaptive threshold of 153.1%. The extreme historical CV (76.6%) is driven by a transient spike cluster (values 499–581 ns around indices 52–64) that inflates stddev dramatically. The compare values (~32–36 ns and ~56 ns) are bimodal but remain within 1 SD of the historical mean. This test has inherent high variance that makes the current delta indistinguishable from noise.
Change Pattern: Unknown (no clear step change or drift detected)
Open Questions
Historical Data: Extremely high variance (CV=76.6%) makes it difficult to detect genuine improvements with this test
Spike Cluster: Historical series contains a transient spike cluster (values 499–581 ns) around indices 52–64 that dramatically inflates stddev; if those outliers have been resolved, re-baselining would tighten the threshold
Bimodal Compare: After-values show two clusters (~32–36 ns and ~56 ns), suggesting possible environment switching or flaky benchmark behavior
Verification Needed: Not required — classified as noise with high confidence
Recommended Actions
Re-baseline consideration - If the historical spike cluster (499–581 ns) represents a resolved transient issue, re-baselining the test history would reduce σ and make future genuine improvements detectable
Investigate bimodality - The bimodal compare values (~32–36 ns vs ~56 ns) may indicate environment-dependent behavior worth investigating for benchmark stability
No further triage needed - This change is noise under current statistical thresholds; no attribution or bisection warranted
🤖 Proposed Next Actions
Rule: R1_all_noise — Likely noise — close & label.
All reported improvements were classified as noise.
#
Action
Status
Details
1
Add label
🕒 Planned
noise
2
Remove label
🕒 Planned
untriaged
3
Close issue
🕒 Planned
reason not_planned
Generated by PerfTriageAgent on 2026-06-09 11:13 UTC
Activity
LoopedBard3 commentedon Jun 9, 2026
🔍 Automated Triage Analysis
Summary: All reported changes appear to be measurement noise. The single test (System.Linq.Tests.Perf_Enumerable.SingleWithPredicate_FirstElementMatches) shows a -65% raw delta but historical CV is 76.6% with extreme variance from spike clusters, placing the change well within normal fluctuation (z=-0.94, adaptive threshold 153%). Finding confidence 4/5 (strong historical data, 291 runs), improvement confidence 1/5 (classified as noise).
Finding Confidence: 4/5 (analysis accuracy)
⚠️ Assessment: Likely noise - recommend closing or monitoring for recurrence.
Improvement Confidence: 1/5 (likelihood of true improvement)
🤖 Proposed Next Actions: Likely noise — close & label — 3 proposed (rule
R1_all_noise— see Full Analysis for the table).📊 Full Analysis (click to expand)
Summary: All reported changes appear to be measurement noise. The single test (System.Linq.Tests.Perf_Enumerable.SingleWithPredicate_FirstElementMatches) shows a -65% raw delta but historical CV is 76.6% with extreme variance from spike clusters, placing the change well within normal fluctuation (z=-0.94, adaptive threshold 153%). Finding confidence 4/5 (strong historical data, 291 runs), improvement confidence 1/5 (classified as noise).
Issue Overview
Test Analysis
Legend: μ=mean, σ=stddev, n=runs, z=z-score, Thresh%=adaptive threshold
Finding Confidence: 4/5 - Strong historical data with 291 prior runs providing excellent coverage. Data quality is high despite the extreme variance.
Candidate Stack Relevance
Not applicable — all tests classified as noise; no likely cause attribution needed.
Noise Classification Details
System.Linq.Tests.Perf_Enumerable.SingleWithPredicate_FirstElementMatches(input: IEnumerable)
Open Questions
Recommended Actions
🤖 Proposed Next Actions
Rule:
R1_all_noise— Likely noise — close & label.All reported improvements were classified as noise.
noiseuntriagednot_plannedGenerated by PerfTriageAgent on 2026-06-09 11:13 UTC
AndyAyersMS commentedon Jun 9, 2026
dotnet/runtime#128513