This research idea paper proposes leveraging Large Language Models (LLMs) to enhance
the productivity of Dafny developers. Although the use of verification-aware languages, such …

Dafny is a popular verification language, which automates proofs by outsourcing them to an
SMT solver. This automation is not perfect, however, and the solver often requires guidance …

The demonstrated code-understanding capability of LLMs raises the question of whether
they can be used for automated program verification, a task that typically demands high …

Formal verification (FV) has witnessed growing significance with current emerging program
synthesis by the evolving large language models (LLMs). However, current formal …

We introduce DafnyBench, the largest benchmark of its kind for training and evaluating
machine learning systems for formal software verification. We test the ability of LLMs such as …

Formal verification of software is a bit of a niche activity: it is only applied to the most safety-
critical or security-critical software and it is typically only performed by specialized …

We argue that lightweight, language-based verification is poised to enter mainstream
industrial use, where it will have a major impact on software quality and reliability. We …

Large stochastic 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 …

This is the Dafny reference manual; it describes the Dafny programming language and how
to use the Dafny verification system. Parts of this manual are more tutorial in nature in order …

The concept of low-code (and no-code) platforms has been around for decades, even before
the term was used. The idea is that applications on these platforms can be built by people …