Parametric timed automata are a powerful formalism for reasoning on concurrent real-time systems with unknown or uncertain timing constants. In order to test the efficiency of new algorithms, a fair set of benchmarks is required. We present an extension of the IMITATOR benchmarks library, that accumulated over the years a number of case studies from academic and industrial contexts. We extend here the library with several dozens of new benchmarks; these benchmarks highlight several new features: liveness properties, extensions of (parametric) timed automata (including stopwatches or multi-rate clocks), and unsolvable toy benchmarks. These latter additions help to emphasize the limits of state-of-the-art parameter synthesis techniques, with the hope to develop new dedicated algorithms in the future.
翻译:参数计时自动自动数据是推理同时实时系统的有力形式主义,其时间常数未知或不确定。为了测试新算法的效率,需要一套公平的基准。我们展示了IMITATOR基准图书馆的扩展,多年来从学术和工业背景中积累了若干案例研究。我们在这里扩展了图书馆,增加了几十个新基准;这些基准突出了若干新的特征:活性特性、(参数)时数自动数据(包括截表或多速率钟)的扩展以及无法解决的玩具基准。这些附加有助于强调最新参数合成技术的局限性,希望今后开发新的专用算法。