This report describes the 2020 Competition on Software Verification (SV-COMP), the 9^ th
edition of a series of comparative evaluations of fully automatic software verifiers for C and …

Abstract Machine Learning (ML) has been a concern in Software Engineering (SE) over the
past years. However, how to use ML and what it can offer for SE is still subject to debate …

PeSCo is a tool for predicting a (likely best) sequential combination of verifiers on a given
verification task and then running it. The approach is based on machine learning, more …

Verification of programs continues to be a challenge and no single known technique
succeeds on all programs. In this paper we present VeriAbs, a reachability verifier for C …

Automated formal verification is often based on the Counterexample-Guided Abstraction
Refinement (CEGAR) approach. Many variants of CEGAR have been developed over the …

The goal of cooperative verification is to combine verification approaches in such a way that
they work together to verify a system model. In particular, cooperative verifiers provide …

Algorithm selection is the task of choosing an algorithm from a given set of candidate
algorithms when faced with a particular problem instance. Algorithm selection via machine …

Software verification is the concept of determining, given an input program and a
specification, whether the input program satisfies the specification or not. There are different …

Ranged symbolic execution has been proposed as a way of scaling symbolic execution by
splitting the task of path exploration onto several workers running in parallel. The split is …

While value iteration (VI) is a standard solution approach to simple stochastic games
(SSGs), it suffered from the lack of a stopping criterion. Recently, several solutions have …