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:
- Modelling: modelling program semantics (Horn clauses, control-flow graph, logical formulas)
- Model checking: algorithms for model checking (bounded model checking, k-induction, IC3/PDR, Craig interpolation)
- Reasoning engine: SAT solver, SMT solver (extending the algorithms, research on new ones)
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.
Recent results and artifacts
Using linear algebra in decomposition of Farkas interpolants, in International Journal on Software Tools for Technology Transfer 24(1), pp. 111-125, 2022
SharpDetect: Dynamic Analysis Framework for C#/.NET Programs, in Proceedings of the 20th International Conference on Runtime Verification (RV 2020), pp. 298-309, 2020
Endicheck: Dynamic Analysis for Detecting Endianness Bugs, in Proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2020), pp. 254-270, 2020
Incremental Verification by SMT-based Summary Repair, in Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design – FMCAD 2020, 2020
ISBN: 978-3-85448-042-6, DOI: 10.34727/2020/isbn.978-3-85448-042-6
Validation of the Hybrid ERTMS/ETCS Level 3 using Spin, in International Journal on Software Tools for Technology Transfer 22(3), pp. 265-279, 2020
A Cooperative Parallelization Approach for Property-Directed k-Induction, in Verification, Model Checking, and Abstract Interpretation, pp. 270-292, 2020
ISBN: 978-3-030-39322-9, DOI: 10.1007/978-3-030-39322-9_13
Reference mutability for DOT – roDOT definitions and proofs, Technical report no. D3S-TR-2020-01, Department of Distributed and Dependable Systems, Charles University, 2020
Grants and Projects
- GAČR 20-07487S: Scalable Techniques for Analysis of Complex Properties of Computer Systems
- GAČR 17-12465S: Verification and Bug-Hunting for Advanced Software
- GAČR 14-11384S: Automatic Formal Analysis and Verification of Programs with Complex Unbounded Data and Control Structures