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Main Authors: Hertzberg, Niclas, Sevenhuijsen, Merlijn, Kåreborn, Liv, Lokrantz, Anna
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2508.18798
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author Hertzberg, Niclas
Sevenhuijsen, Merlijn
Kåreborn, Liv
Lokrantz, Anna
author_facet Hertzberg, Niclas
Sevenhuijsen, Merlijn
Kåreborn, Liv
Lokrantz, Anna
contents Recent developments in Large Language Models (LLMs) have shown promise in automating code generation, yet the generated programs lack rigorous correctness guarantees. Formal verification can address this shortcoming, but requires expertise and is time-consuming to apply. Currently, there is no dataset of verified C code paired with formal specifications that enables systematic benchmarking in this space. To fill this gap, we present a curated evaluation dataset of C code paired with formal specifications written in ANSI/ISO C Specification Language (ACSL). We develop a multi-stage filtering process to carefully extract 506 pairs of C code and formal specifications from The Stack 1 and The Stack 2. We first identify C files annotated with formal languages. Then, we ensure that the annotated C files formally verify, and employ LLMs to improve non-verifying files. Furthermore, we post-process the remaining files into pairs of C code and ACSL specifications, where each specification-implementation pair is formally verified using Frama-C. To ensure the quality of the pairs, a manual inspection is conducted to confirm the correctness of every pair. The resulting dataset of C-ACSL specification pairs (CASP) provides a foundation for benchmarking and further research on integrating automated code generation with verified correctness.
format Preprint
id arxiv_https___arxiv_org_abs_2508_18798
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle CASP: An evaluation dataset for formal verification of C code
Hertzberg, Niclas
Sevenhuijsen, Merlijn
Kåreborn, Liv
Lokrantz, Anna
Formal Languages and Automata Theory
Recent developments in Large Language Models (LLMs) have shown promise in automating code generation, yet the generated programs lack rigorous correctness guarantees. Formal verification can address this shortcoming, but requires expertise and is time-consuming to apply. Currently, there is no dataset of verified C code paired with formal specifications that enables systematic benchmarking in this space. To fill this gap, we present a curated evaluation dataset of C code paired with formal specifications written in ANSI/ISO C Specification Language (ACSL). We develop a multi-stage filtering process to carefully extract 506 pairs of C code and formal specifications from The Stack 1 and The Stack 2. We first identify C files annotated with formal languages. Then, we ensure that the annotated C files formally verify, and employ LLMs to improve non-verifying files. Furthermore, we post-process the remaining files into pairs of C code and ACSL specifications, where each specification-implementation pair is formally verified using Frama-C. To ensure the quality of the pairs, a manual inspection is conducted to confirm the correctness of every pair. The resulting dataset of C-ACSL specification pairs (CASP) provides a foundation for benchmarking and further research on integrating automated code generation with verified correctness.
title CASP: An evaluation dataset for formal verification of C code
topic Formal Languages and Automata Theory
url https://arxiv.org/abs/2508.18798