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Static Value-Flow Analysis Framework for Source Code

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SVF is a static value-flow analysis tool for LLVM-based languages. SVF (CC'16) is able to perform

  • WPA (whole program analysis): field-sensitive (SAS'19), flow-sensitive (CGO'21, OOPSLA'21) analysis;
  • DDA (demand-driven analysis): flow-sensitive, context-sensitive points-to analysis (FSE'16, TSE'18);
  • MSSA (memory SSA form construction): memory regions, side-effects, SSA form (JSS'18);
  • SABER (memory error checking): memory leaks and double-frees (ISSTA'12, TSE'14, ICSE'18);
  • MTA (analysis of mutithreaded programs): value-flows for multithreaded programs (CGO'16);
  • CFL (context-free-reachability analysis): standard CFL solver, graph and grammar (OOPSLA'22);
  • SVFIR and MemoryModel (SVFIR): SVFIR, memory abstraction and points-to data structure (SAS'21);
  • Graphs: generating a variety of graphs, including call graph, ICFG, class hirachary graph, constraint graph, value-flow graph for static analyses and code embedding (OOPSLA'20, TOSEM'21)

SVF's doxygen document is available here.


About SVF Setup Guide User Guide Developer Guide
About Setup User Developer
Introducing SVF -- what it does and how we design it A step by step setup guide to build SVF Command-line options to run SVF, get analysis outputs, and test SVF with an example or PTABen Detailed technical documentation and how to write your own analyses in SVF or use SVF as a lib for your tool

We are looking for self-motivated PhD students and we welcome industry collaboration/sponsorship to improve SVF (Please contact [email protected] if you are interested)


We release SVF source code in the hope of benefiting others. You are kindly asked to acknowledge usage of the tool by citing some of our publications listed http://svf-tools.github.io/SVF, especially the following two:

@inproceedings{sui2016svf,
  title={SVF: interprocedural static value-flow analysis in LLVM},
  author={Sui, Yulei and Xue, Jingling},
  booktitle={Proceedings of the 25th international conference on compiler construction},
  pages={265--266},
  year={2016},
  organization={ACM}
}
@article{sui2014detecting,
  title={Detecting memory leaks statically with full-sparse value-flow analysis},
  author={Sui, Yulei and Ye, Ding and Xue, Jingling},
  journal={IEEE Transactions on Software Engineering},
  volume={40},
  number={2},
  pages={107--122},
  year={2014},
  publisher={IEEE}
}

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