This paper describes the nuXmv symbolic model checker for finite-and infinite-state
synchronous transition systems. nuXmv is the evolution of the nuXmv open source model …

Bitcoin's underlying blockchain database is a novel approach to recordkeeping that has the
potential to decentralize big data. Bitcoin's success has inspired a multitude of spinoff …

Inductive invariants can be robustly synthesized using a learning model where the teacher is
a program verifier who instructs the learner through concrete program configurations …

Formal verification provides a rigorous and systematic approach to ensure the correctness
and reliability of software systems. Yet, constructing specifications for the full proof relies on …

We introduce ICE, a robust learning paradigm for synthesizing invariants, that learns using
examples, counter-examples, and implications, and show that it admits honest teachers and …

This paper presents a new method for generating inductive loop invariants that are
expressible as boolean combinations of linear integer constraints. The key idea underlying …

Object-relational mapping libraries are a popular way for applications to interact with
databases because they provide transparent access to the database using the same …

We describe a Guess-and-Check algorithm for computing algebraic equation invariants of
the form∧ ifi (x 1,…, xn)= 0, where each fi is a polynomial over the variables x 1,…, xn of the …

We present a data-driven technique to solve Constrained Horn Clauses (CHCs) that encode
verification conditions of programs containing unconstrained loops and recursions. Our CHC …

We present a novel approach for generalizing the IC3 algorithm for invariant checking from
finite-state to infinite-state transition systems, expressed over some background theories …