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Interactive Abstract Interpretation with Demanded Summarization

Talkat PLDI 2024 · 2024-06-24..06-28· [compilers-and-language-design]
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Presents demanded summarization, an algorithm and engine that makes summary‑based abstract interpretation incremental and compositional while supporting arbitrary abstract domains and guaranteeing from-scratch consistency. Implements a hierarchy of per‑procedure DIGs and a DSG that records summary uses, handles recursion with self‑referential summary queries, and embeds widening in the engine. Prototype on octagons runs 2500 synthetic edits and Bugstorm Java fixes, cuts recomputed states to 0.1–2.7% of batch and improves tail latency (notably P99), showing the approach is practical.

AI-written summary · about

  1. 0:00Interactive static analysis intro
  2. 1:05Need for interactive analysis
  3. 2:27Demanded abstract interpretation
  4. 5:16Interprocedural analysis extension
  5. 6:00Demand and summarization
  6. 8:51Summarization graph structure
  7. 10:16Recursion with self-summaries
  8. 11:40Formal interactive summary analysis
  9. 13:07Responsiveness after edits
  10. 14:50Reduction in recomputation
  11. 16:15Conclusion
  12. 16:37Q&A on widening
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