We report on the performance of the tool LoLA 2.0 in the model checking contest (MCC) 2015. As in the years before, LoLA ranked first in the reachability category of the contest. We identify critical success factors and discuss the impact of the contest design. Conclusions include further improvements for the tool as well as suggestions concerning the setup of future contests.
CITATION STYLE
Wolf, K. (2016). Running LoLA 2.0 in a model checking competition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9930 LNCS, pp. 274–285). Springer Verlag. https://doi.org/10.1007/978-3-662-53401-4_13
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