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On generation of properties from specification

机译:从规范中产生物业

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摘要

Although the Moore's law is slowing down in terms of technology node scaling, researchers are inventing new methods to keep the design productivity on the rising trend. As a consequence, the complexity of hardware designs will continue to grow, which results in further hardening of functional verification. Assertion based verification is well established and proven to be an effective RTL verification approach. However, manual implementation of assertions can become tedious and time consuming. Hence, a sophisticated method to automate the generation of properties from specification with minimal manual interaction is essential. In this paper, we propose a novel approach for the generation of properties that employs Object Management Group's MDA vision for code generation. The flow is built on Infineon's meta-modeling framework and makes heavy use of Python and Mako templates. Our approach incorporates model to model transformations and uses templates to finally generate the target code. Moreover, the generation flow abstracts from the property platforms and targets multiple property specification languages.
机译:虽然摩尔定律在技术节点缩放方面放缓,但研究人员都发明了一种新的方法,以保持设计生产力对上升趋势。因此,硬件设计的复杂性将继续增长,这导致功能验证的进一步强化。基于断言的验证得到了很好的成熟,并证明是有效的RTL验证方法。但是,手动实施断言可能会变得繁琐且耗时。因此,一种以最小的手动交互为基本的自动化从规范生成特性的复杂方法是​​必不可少的。在本文中,我们提出了一种新颖的方法,用于生成采用对象管理组的MDA愿景进行代码生成的属性。该流程建立在英飞凌的元建模框架上,并致力于使用Python和Mako模板。我们的方法将模型融入模型转换,并使用模板最终生成目标代码。此外,来自属性平台的生成流程摘要和目标多个属性规范语言。

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