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D4vidHuang/CoRefusion

https://github.com/D4vidHuang/CoRefusion · scanned 2026-06-17 01:25 UTC (1 month, 2 weeks ago)

85 raw signals (0 security + 85 graph)

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Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -11.5 (diff) · 49 actionable findings from 1 signal source. 36 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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55.6% cov · 49 findings

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 17 Low 24 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 49 Crowd 0 Layer: Software 9 Network 8 Security 6 Quality 26

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 6 findings

What it is: Same function copy-pasted into multiple modules with minor variations.

Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.

How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.

Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.

6 matching findings on this repo

low Near-duplicate function bodies in 8 places repo-level
low Near-duplicate function bodies in 2 places repo-level
low Near-duplicate function bodies in 6 places
low Near-duplicate function bodies in 3 places repo-level
low Near-duplicate function bodies in 4 places repo-level
low Near-duplicate function bodies in 5 places repo-level

View all duplicates & near-duplicates findings →

Commented-out code 8 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

8 matching findings on this repo

info Commented-code block (5 lines) in experiments/compare_math_vs_smell_noise.py:441
info Commented-code block (13 lines) in experiments/benchmark_codet5p_16b.py:330
info Commented-code block (8 lines) in experiments/experiment_deobfuscation.py:490
info Commented-code block (7 lines) in experiments/experiment_denoise_sbs.py:157
info Commented-code block (7 lines) in experiments/smell_as_noise_refactoring/run_ex…
info Commented-code block (11 lines) in analysis/plot_overconfidence.py:122
info Commented-code block (7 lines) in analysis/paper_figures.py:110
info Commented-code block (5 lines) in analysis/check_code_integrity.py:14

View all commented-out code findings →

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