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Latte: Lightweight Aliasing Tracking for Java

Talkat HATRA 2023 · on Sunday, 2023-10-22· [java]
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Latte adds a lightweight aliasing layer to Java that only requires annotations on parameters and fields while inferring local variable annotations, tracks aliasing on the stack, and allows destructive reads without changing language or runtime semantics. It uses three annotations (shared, unique, owned), proves uniqueness through local inference, and demonstrates modeling a mutable stack where push preserves uniqueness. Current limits: conservative fallback to shared when modular/call‑context aliasing is unclear and no large real‑world evaluation yet.

AI-written summary · about

  1. 0:00Latte project introduction
  2. 1:39Aliasing tracking motivation
  3. 3:04Challenges in aliasing solutions
  4. 6:13Latte approach and annotations
  5. 8:59Unique references example
  6. 11:05Achievements and work
  7. 12:50Developer experience goals
  8. 14:38Q&A: calling contexts
  9. 18:54Nullness and defaults
  10. 21:00Q&A: aliasing levels
  11. 23:15Simplicity vs expressiveness
  12. 26:23Verification integration
  13. 29:10Design of 'owned' annotation
  14. 30:14Usability evaluation
  15. 31:43Developer mental models
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