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Comparing apples and oranges: Evaluating model-coverage using acceptance regions

机译:比较苹果和桔子:使用接受区域评估模型覆盖率

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Analog/Mixed-Signal (AMS) design and verification is dominated by modelling tasks. Model validity is crucial for the design's correctness but lacks a more formal criterion. We propose a novel model verification strategy to evaluate the coverage with respect to a given circuit. We define model-coverage based on the individual acceptance regions in parameter space. This imposes a measure that can be formally described and efficiently approximated by an industrial simulation environment. We prove the ability of our approach in a case study: A model of a clock-recovery component used in RFID tags is compared to the realized circuit and layout. Using the novel coverage measure, we match the model to the circuit: By systematically adding new constraints to the model code, the coverage is increased to 99% ensuring the correctness of the overall system verification.
机译:模拟/混合信号(AMS)设计和验证主要由建模任务决定。模型的有效性对设计的正确性至关重要,但缺乏更正式的标准。我们提出了一种新颖的模型验证策略来评估相对于给定电路的覆盖范围。我们根据参数空间中的各个接受区域定义模型覆盖率。这强加了一种可以由工业仿真环境正式描述并有效近似的度量。我们在案例研究中证明了我们的方法的能力:将RFID标签中使用的时钟恢复组件模型与已实现的电路和布局进行比较。使用新颖的覆盖率度量,我们将模型与电路匹配:通过向模型代码系统地添加新约束,覆盖率提高到99%,从而确保了整个系统验证的正确性。

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