Industry applications of formal verification to signaling control tables require formulation of a large number of mathematical conjectures expressing verification rules. It is paramount to establish the validity and completeness of these conjectures. This article discusses a mutation-based validation technique that guides domain experts in the construction of such verification rules. Furthermore, we use genetic programming to quickly generate millions of well-formed data mutations of control tables and to synthesize mutation programs. The technique is illustrated by a synthetic running example and a discussion of our experience in using it in the industrial setting.

中文翻译：

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基于规则的铁路信号数据验证的突变测试

形式验证对信令控制表的行业应用需要制定大量表达验证规则的数学猜想。建立这些猜想的有效性和完整性至关重要。本文讨论了一种基于变异的验证技术，该技术可指导领域专家构建此类验证规则。此外，我们使用遗传编程来快速生成数百万个格式良好的控制表数据突变并合成突变程序。该技术通过一个综合的运行示例和我们在工业环境中使用它的经验来说明。