# Property Directed Self Composition

## TL;DR

This paper introduces a property-directed inference algorithm for automatically inferring semantic self composition functions and invariants to verify k-safety properties, improving over existing tools.

## Contribution

It presents a novel algorithm that infers self composition functions and invariants simultaneously, enhancing verification capabilities for k-safety properties.

## Key findings

- Successfully infers complex self compositions beyond existing tools.
- Demonstrates effectiveness on various verification benchmarks.
- Improves automation in verifying k-safety properties.

## Abstract

We address the problem of verifying k-safety properties: properties that refer to k-interacting executions of a program. A prominent way to verify k-safety properties is by self composition. In this approach, the problem of checking k-safety over the original program is reduced to checking an "ordinary" safety property over a program that executes k copies of the original program in some order. The way in which the copies are composed determines how complicated it is to verify the composed program. We view this composition as provided by a semantic self composition function that maps each state of the composed program to the copies that make a move. Since the "quality" of a self composition function is measured by the ability to verify the safety of the composed program, we formulate the problem of inferring a self composition function together with the inductive invariant needed to verify safety of the composed program, where both are restricted to a given language. We develop a property-directed inference algorithm that, given a set of predicates, infers composition-invariant pairs expressed by Boolean combinations of the given predicates, or determines that no such pair exists. We implemented our algorithm and demonstrate that it is able to find self compositions that are beyond reach of existing tools.