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.

中文翻译：

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扩展参数定时自动机的基准库

参数定时自动机是一种强大的形式主义，用于对具有未知或不确定定时常数的并发实时系统进行推理。为了测试新算法的效率，需要一组公平的基准。我们展示了 IMITATOR 基准库的扩展，它多年来积累了许多来自学术和工业背景的案例研究。我们在这里用几十个新的基准扩展了这个库；这些基准测试突出了几个新功能：活性属性、（参数）定时自动机的扩展（包括秒表或多速率时钟）和无法解决的玩具基准测试。后面的这些添加有助于强调最先进的参数合成技术的局限性，并希望在未来开发新的专用算法。