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Compositional Bug Detection for Internally Unsafe Libraries: A Logical Approach to Type Unsoundness (Artifact)

Authors Pedro Carrott , Sacha-Élie Ayoun , Azalea Raad

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DARTS.11.2.9.pdf
  • Filesize: 0.51 MB
  • 2 pages

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Subject Classification

ACM Subject Classification
  • Theory of computation → Program analysis
  • Theory of computation → Separation logic
  • Theory of computation → Programming logic
  • Theory of computation → Automated reasoning
  • Theory of computation → Program specifications
  • Software and its engineering → General programming languages
Keywords
  • Rust
  • bug detection
  • static analysis
  • program logics
  • under-approximation

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Abstract

This artifact is a companion to the paper "Compositional Bug Detection for Internally Unsafe Libraries: A Logical Approach to Type Unsoundness". It contains the Rocq formalisation of the RISL program logic, the RUXtBelt semantic model and the inadequacy theorem of RUXt. It also contains the OCaml prototype for RUXt, along with the case studies discussed in the paper.

Cite As Get BibTex

Pedro Carrott, Sacha-Élie Ayoun, and Azalea Raad. Compositional Bug Detection for Internally Unsafe Libraries: A Logical Approach to Type Unsoundness (Artifact). In Special Issue of the 39th European Conference on Object-Oriented Programming (ECOOP 2025). Dagstuhl Artifacts Series (DARTS), Volume 11, Issue 2, pp. 9:1-9:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/DARTS.11.2.9

Author Details

Pedro Carrott
  • Imperial College London, UK
Sacha-Élie Ayoun
  • Imperial College London, UK
Azalea Raad
  • Imperial College London, UK

Acknowledgements

This project was sponsored by the Defense Advanced Research Projects Agency, (DARPA), Information Innovation Office (I2O), Program BAA HR001124S0003, under Cooperative Agreement No. HR00112420359. Disclaimer: The content of the information does not necessarily reflect the position or the policy of the U.S. Government, and no official endorsement should be inferred. Raad is further supported by the UKRI Future Leaders Fellowship MR/V024299/1, by the EPSRC grant EP/X037029/1 and by VeTSS.

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  MD5 Sum: 8c254471c0089ac7139a4a6a94d1ace9 (Get MD5 Sum)

Artifact Evaluation Policy

The artifact has been evaluated as described in the ECOOP 2025 Call for Artifacts and the ACM Artifact Review and Badging Policy.

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