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Partially Evaluating Symbolic Interpreters for All

Talkat PEPM 2022 · 2022-01-17..01-18· [compilers-and-language-design]
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Builds staged symbolic interpreters with Lightweight Modular Staging (LMS) to compile concolic and call‑chain backward symbolic execution for an LLVM‑style IR, generating executables that link a symbolic runtime and SMT backend. A concolic compiler produces results with comparable performance to SymCC on benchmarks; a backward compiler solves cases where forward engines blow up by summarizing functions and traversing call chains. Prototype reuses prior nondeterministic engine, needs about 500 lines of changes and uses Z3/STP for queries.

AI-written summary · about

  1. 0:00Intro
  2. 1:28Symbolic Execution Engines
  3. 2:06Symbolic Compilers
  4. 2:31Multi-stage programming
  5. 4:59Concolic Execution
  6. 6:51Our approach - Concrete Interpreters
  7. 7:21Our approach - Concolic Interpreters
  8. 11:56Our approach - Staged Interpreter
  9. 15:12CCBSE: Call-Chain Backward Symbolic Executio
  10. 19:01Schedule the order of execution
  11. 19:39Summaries and compositions
  12. 21:33This is all we need!
  13. 22:35Evaluation
  14. 23:30Conclusion
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