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Using Valued Booleans to Find Simpler Counterexamples in Random Testing of Cyber-Physical Systems

机译:使用valued booleans在网络 - 物理系统的随机测试中找到更简单的反域

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We propose a new logic of valued Booleans for writing properties which are not just true or false but compute how severely they are falsified. The logic is reminiscent of STL or MTL but gives the tester control over what severity means in the particular problem domain. We use this logic to simplify failing test inputs in the context of random testing of cyber-physical systems and show that it improves the quality of counterexamples found. The logic of valued Booleans might also be used as an alternative to the standard robust semantics of STL formulas in optimization-based approaches to falsification.
机译:我们提出了一个新的尊重布尔值的逻辑,用于编写属性,这不仅仅是真或假,而是计算它们的伪造严重程度。逻辑让人想起STL或MTL,但是测试器控制特定问题域中的严重性意味着什么。我们使用此逻辑在网络 - 物理系统的随机测试的背景下简化故障测试输入,并显示它提高了发现的体系质量。估值布尔斯的逻辑也可以用作基于优化的伪造方法中STL公式的标准强大语义的替代方法。

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