~/talk

Abstract Interpretation with Confidence

Talkat PLDI 2026 · 2026-06-15..06-19· [compilers-and-language-design]
links:none on file
name:Ziyue Jin
links:none on file
name:Xin Zhang
linkedin:xinzhangibm
slides:none on file

Paper defines alarm confidence as the probability of local completeness: the chance that a sampled concrete program, drawn from the set consistent with a given abstract-analysis execution, makes the analyzer locally complete. It gives a constructive method — an oracle denotational semantics and a tractable under‑approximation ⟨⟨·⟩⟩ and ⟨⟨·⟩⟩^{lc} — proves both correct, encodes per‑command distributions and correlations, handles loops by correlated sampling plus unrolling, and reports no empirical evaluation yet.

AI-written summary · about

  1. 0:00Introduction
  2. 1:30Motivation for statistical analysis
  3. 3:40Confidence in abstract interpretation
  4. 8:17Computing confidence locally
  5. 12:11Practical semantics for confidence
  6. 16:05Loops and correlations handling
  7. 17:52Conclusion
  8. 18:12Q&A
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