Large language models show great promise in many domains, including programming. A
promise is easy to make but hard to keep, and language models often fail to keep their …

Program analyzers are critical in safeguarding software reliability. However, due to their
inherent complexity, they are likely to contain bugs themselves, and the question of how to …

Program analyzers implement complex algorithms and, as any software, can contain bugs.
Bugs in their implementation may lead to analyzers being imprecise and failing to verify safe …

Fuzz testing is an effective tool for finding bugs in software, including programming
language compilers and interpreters. Advanced fuzz testers can find deep semantic bugs in …

The guarantees of formally verified systems are only as strong as their trusted specifications
(specs). As observed by previous studies, bugs in formal specs invalidate the assurances …

One of the primary challenges in software testing is generating high-quality test inputs and
obtaining corresponding test oracles. This paper introduces a novel methodology to mitigate …

Dafny is a verification-ready programming language that is executed via compilation to C#
and other mainstream languages. We introduce a toolkit for automated testing of Dafny …

Zero-knowledge (ZK) protocols have recently found numerous practical applications, such
as in authentication, online-voting, and blockchain systems. These protocols are powered by …

We present the design and implementation of two new tools for randomised testing of the
compiler of the Dafny programming language. The Dafny language and tool-chain supports …

Universal quantifiers occur frequently in proof obligations produced by program verifiers, for
instance, to axiomatize uninterpreted functions and to statically express properties of arrays …