This repository is archived; new development see GenSym.

Improving the performance of static analysis by meta-programming/multi-stage programming.

• dev-clean Current development using LMS-clean
• oopsla19-code The artifact of the OOPSLA '19 submission

• lms-clean The new version of LMS library
• immer An immutable data structures library for C++
• dev-obsolete Outdated development using virtualization-lms-core
• pldi19-code The code for the PLDI '19 submission (obsoleted)
• abscomp-racket Abstract Compilation (CC '96) implemented in Racket

• Towards Partially Evaluating Symbolic Interpreters for All
  Shangyin Tan, Guannan Wei, Tiark Rompf
  ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation (PEPM), co-located with POPL 2022. Philadelphia, PA, USA
  PDF

• LLSC: A Parallel Symbolic Execution Compiler for LLVM IR (Demo Paper)
  Guannan Wei, Shangyin Tan, Oliver Bračevac, Tiark Rompf
  Proceedings of The 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021)
  PDF (ACM DL)

• Compiling Symbolic Execution with Staging and Algebraic Effect
  Guannan Wei, Oliver Bračevac, Shangyin Tan, Tiark Rompf
  Proceedings of the ACM on Programming Languages, Volume 4 (OOPSLA 2020). Online
  PDF (ACM DL)

• Staged Abstract Interpreters: Fast and Modular Whole-Program Analysis via Meta-Programming
  Guannan Wei, Yuxuan Chen, Tiark Rompf
  Proceedings of the ACM on Programming Languages, Volume 3 (OOPSLA 2019). Athens, Greece
  PDF (ACM DL)