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WebGlitch: A Randomised Testing Tool for the WebGPU API (Artifact)

Authors Matthew K. L. Wong , Alastair F. Donaldson

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DARTS.11.2.14.pdf
  • Filesize: 0.51 MB
  • 4 pages

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Subject Classification

ACM Subject Classification
  • Software and its engineering → Software testing and debugging
  • Software and its engineering → Object oriented languages
Keywords
  • Fuzzing
  • WebGPU
  • WGSL
  • API
  • shaders
  • artifact

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Abstract

We present the software artifact that accompanies our paper on WebGlitch, a new tool for fuzz testing WebGPU implementations, along with detailed instructions for its use. The artifact consists of a Docker image containing the complete setup to run WebGlitch on two WebGPU implementations, Dawn and wgpu, via Node.js and Deno, respectively. This image allows users to reproduce the throughput and coverage experiments described in the paper, and provides a playground for generating WebGPU programs with WebGlitch and testing different WebGPU implementations. We also include the full source code for WebGlitch for transparency. We hope this artifact will support future research in testing the WebGPU ecosystem and API fuzzing more broadly.

Cite As Get BibTex

Matthew K. L. Wong and Alastair F. Donaldson. WebGlitch: A Randomised Testing Tool for the WebGPU API (Artifact). In Special Issue of the 39th European Conference on Object-Oriented Programming (ECOOP 2025). Dagstuhl Artifacts Series (DARTS), Volume 11, Issue 2, pp. 14:1-14:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/DARTS.11.2.14

Author Details

Matthew K. L. Wong
  • Department of Computing, Imperial College London, UK
Alastair F. Donaldson
  • Department of Computing, Imperial College London, UK

Funding

This work was supported by EPSRC grant EP/R006865/1 and gift funding from Google.

Artifact

  MD5 Sum: ebe6cfc9a9db4b2797d2a97188fe7d01 (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.

Related Article

References

  1. Google. Dawn, 2024. Accessed 23rd April 2025. URL: https://github.com/google/dawn.
  2. Rust Graphics Mages. wgpu, 2024. Accessed 23rd April 2025. URL: https://github.com/gfx-rs/wgpu?tab=readme-ov-file.
  3. Daniel Simols. wg-fuzz, 2024. Accessed 23rd April 2025. URL: https://github.com/wg-fuzz/wg-fuzz.
  4. W3C group for GPU web standards. Conformance Test Suite, 2024. Accessed 23rd April 2025. URL: https://github.com/gpuweb/cts.
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