This paper introduces an innovative approach that combines Large Language Models
(LLMs) with Formal Verification strategies for automatic software vulnerability repair. Initially …

Combining different verification and testing techniques together could, at least in theory,
achieve better results than each individual one on its own. The challenge in doing so is how …

Computer-based systems have solved several domain problems, including industrial,
military, education, and wearable. Nevertheless, such arrangements need high-quality …

Concurrent programs are widespread in modern systems. They make better use of
processor resources but inevitably introduce a new set of problems in terms of reliability and …

Bounded model checking (BMC) and fuzzing techniques are among the most effective
methods for detecting errors and security vulnerabilities in software. However, there are still …

This paper presents the Cubicle Fuzzy Loop (CFL), a fuzzing-based extension for Cubicle, a
model checker for parameterized systems. To prove safety, Cubicle generates invariants …

We describe and evaluate LF-checker, a metaverifier tool based on machine learning. It
extracts multiple features of the program under test and predicts the optimal configuration …

The goal of this thesis is to integrate a testing technique into the Cubicle model checker. To
do this, we extended Cubicle with a Fuzzing loop (called the Cubicle Fuzzy Loop-CFL). This …

Detecting software vulnerabilities in concurrent programs poses a significant challenge due
to the extensive state-space exploration required, with interleavings growing exponentially …

Establishing equivalence and refinement relations between programs is an important mean
for verifying their correctness. By establishing that the behaviours of a modified program …