Verification methods

Symbolic techniques and tools (such as SAT and SMT solvers and theorem provers) are used in program verification (establishing interesting properties, such as deadlock absence, race conditions, no assertion violation) to overcome the scaling issues of explicit-state approaches. Some of these methods employ Craig interpolants as an abstract way of representation sets of states. Our research focuses on extending this idea to further improve performance of the verification tools in terms of both verification time and consumed memory.

Project team members wanted!

We seek students willing to participate in our projects focused on (but not restricted to) verification of C programs properties. This involves the following areas:

Analysis of LLVM passes suitable for software verification

LLVM performs plenty of passes transforming the intermediate representation, usually with the goal to simplify the code for a particular purpose. The goal here is to identify those that contribute to the form being most suitable for software verification. An example of such tools is SeaHorn.

Implementation of new software verification algorithms

This includes development and implementation of new algorithms based on state of the art with the aim to win the software verification competition SV-COMP.

Optimization techniques inside SAT/SMT solver

The goal is to develop algorithms compatible with proof generation and interpolation that improve performance of the solver. This also includes techniques already published in scientific works, but not yet implemented in available tools.

Interested? Contact us:

Results and Artifacts

Grants and Projects