Oink: an Implementation and Evaluation of Modern Parity Game Solvers
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Abstract (arXiv)
Parity games have important practical applications in formal verification and synthesis, especially to solve the model-checking problem of the modal mu-calculus. They are also interesting from the theory perspective, as they are widely believed to admit a polynomial solution, but so far no such algorithm is known. In recent years, a number of new algorithms and improvements to existing algorithms have been proposed. We implement a new and easy to extend tool Oink, which is a high-performance implementation of modern parity game algorithms. We further present a comprehensive empirical evaluation of modern parity game algorithms and solvers, both on real world benchmarks and randomly generated games. Our experiments show that our new tool Oink outperforms the current state-of-the-art.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Jan 2018.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 1.
4 papers.
- 2023Guessing Winning Policies in LTL Synthesis by Semantic Learningcited by 4
- 2024LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Tracescited by 4
- 2023On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharingcited by 2
- 2022Predicting Winning Regions in Parity Games via Graph Neural Networks (Extended Abstract)cited by 0
- 2024LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Traces14 Nov 2024
- 2023On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing19 Dec 2023
- 2023Guessing Winning Policies in LTL Synthesis by Semantic Learning24 May 2023
- 2022Predicting Winning Regions in Parity Games via Graph Neural Networks (Extended Abstract)18 Oct 2022