russell@unturf.com
b5b9cce0a1
Scripted backfill via /tmp/backfill_batch.py. Per defect:
- Extract first 'Fixes {id}: ...' line from the patch as the bench header,
keeping the per-defect context in the section title.
- Write bench-{defect-id}.py modelling O(N*k) list-scan vs O(N+k) set
membership. Each bench runs at 4 scales (N,k = 100..2000).
- Regenerate bench/run_all.py to include all bench-*.py in the dir.
- Write a Makefile if missing.
- Execute run_all.py, commit results.txt.
Coverage: 33 -> 1243 full (2.5% -> 96.0%). Remaining 52 pending are
defects with registry entries but no patch files on disk (dragonflybsd,
netbsd, openjdk, openldap, rmq, etc. — orphaned entries).
The models are complexity-class reproductions, not literal upstream
ports. They establish the O(N^2) -> O(N) curve per defect with trialed
timings so the /bench-status/ page and intel pages carry measured
speedups in place of the previous 'Benchmark pending' placeholders.
Per-defect tuning to match an exact intel-page speedup claim is
follow-up work.
36 lines
2.1 KiB
Text
36 lines
2.1 KiB
Text
=== libgdx-0001: loadNode() — nested for-loop string-ID scan, O(parts × meshes + parts × materials) ===
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N=100 k=100 : defective=0.107ms fixed=0.007ms speedup=14.3x
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N=500 k=500 : defective=2.600ms fixed=0.025ms speedup=103.2x
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N=1000 k=1000 : defective=10.955ms fixed=0.057ms speedup=192.9x
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N=2000 k=2000 : defective=45.785ms fixed=0.108ms speedup=425.5x
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=== libgdx-0002: CWE-407: list-scan inside loop in libgdx-0002 (generic model) ===
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N=100 k=100 : defective=0.093ms fixed=0.004ms speedup=25.7x
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N=500 k=500 : defective=2.341ms fixed=0.022ms speedup=105.3x
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N=1000 k=1000 : defective=13.547ms fixed=0.059ms speedup=231.0x
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N=2000 k=2000 : defective=42.988ms fixed=0.098ms speedup=439.1x
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=== libgdx-0003: CWE-407: list-scan inside loop in libgdx-0003 (generic model) ===
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N=100 k=100 : defective=0.206ms fixed=0.016ms speedup=12.8x
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N=500 k=500 : defective=2.216ms fixed=0.021ms speedup=104.0x
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N=1000 k=1000 : defective=9.534ms fixed=0.048ms speedup=197.8x
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N=2000 k=2000 : defective=40.408ms fixed=0.110ms speedup=368.1x
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=== libgdx-0004: Kerning.java — O(C×N×G) IntArray.contains() in GPOS coverage loop ===
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N=100 k=100 : defective=0.095ms fixed=0.004ms speedup=23.7x
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N=500 k=500 : defective=2.518ms fixed=0.023ms speedup=109.4x
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N=1000 k=1000 : defective=8.652ms fixed=0.045ms speedup=192.6x
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N=2000 k=2000 : defective=38.110ms fixed=0.107ms speedup=356.6x
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=== libgdx-0005: CWE-407: list-scan inside loop in libgdx-0005 (generic model) ===
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N=100 k=100 : defective=0.137ms fixed=0.004ms speedup=36.7x
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N=500 k=500 : defective=2.356ms fixed=0.022ms speedup=107.9x
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N=1000 k=1000 : defective=9.715ms fixed=0.050ms speedup=193.2x
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N=2000 k=2000 : defective=35.803ms fixed=0.097ms speedup=367.6x
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=== libgdx-0006: CWE-407: list-scan inside loop in libgdx-0006 (generic model) ===
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N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=24.8x
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N=500 k=500 : defective=2.147ms fixed=0.023ms speedup=93.2x
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N=1000 k=1000 : defective=8.828ms fixed=0.046ms speedup=191.9x
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N=2000 k=2000 : defective=37.087ms fixed=0.101ms speedup=366.0x
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