The Reactive Synthesis Competition (SYNTCOMP): 2018-2021
Swen Jacobs, Guillermo A. Perez, Remco Abraham, Veronique Bruyere, Michael Cadilhac, Maximilien Colange, Charly Delfosse, Tom van Dijk, Alexandre Duret-Lutz, Peter Faymonville, Bernd Finkbeiner, Ayrat Khalimov, Felix Klein, Michael Luttenberger, Klara Meyer, Thibaud Michaud, Adrien Pommellet, Florian Renkin, Philipp Schlehuber-Caissier, Mouhammad Sakr, Salomon Sickert, Gaetan Staquet, Clement Tamines, Leander Tentrup, Adam Walker
TL;DR
The paper documents SYNTCOMP 2018–2021, detailing the evaluation framework, benchmark evolution, participating tools, and experimental results across safety, parity, and LTL tracks. It highlights advances in LTL and parity-synthesis, including the rise of Owl-Pig approaches (Strix, Ltlsynt) and symbolic parity-game solving (Knor-BDD), and notes the ongoing importance of TLSF-encoded, parameterized benchmarks for scalability assessment. The authors analyze tool performance, discuss lessons learned for LTL synthesis and parity games, and propose rule changes to enhance comparability and industrial relevance in future editions. Overall, SYNTCOMP demonstrates measurable progress in synthesis tool quality and benchmark diversity, reinforcing its role as a benchmark platform to drive practical, scalable reactive synthesis research.
Abstract
We report on the last four editions of the reactive synthesis competition (SYNTCOMP 2018-2021). We briefly describe the evaluation scheme and the experimental setup of SYNTCOMP. Then, we introduce new benchmark classes that have been added to the SYNTCOMP library and give an overview of the participants of SYNTCOMP. Finally, we present and analyze the results of our experimental evaluations, including a ranking of tools with respect to quantity and quality - that is, the total size in terms of logic and memory elements - of solutions.
