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On Models and Code A Unified Approach to Support Large-Scale Deductive Program Verification

机译:关于模型和代码的支持大规模演绎程序验证的统一方法

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Despite the substantial progress in the area of deductive program verification over the last years, it still remains a challenge to use deductive verification on large-scale industrial applications. In this abstract, I analyse why this is case, and I argue that in order to solve this, we need to soften the border between models and code. This has two important advantages: (1) it would make it easier to reason about high-level behaviour of programs, using deductive verification, and (2) it would allow to reason about incomplete applications during the development process. I discuss how the first steps towards this goal are supported by verification techniques within the VerCors project, and I will sketch the future steps that are necessary to realise this goal.
机译:尽管最近几年在演绎程序验证领域取得了长足进步,但在大规模工业应用中使用演绎验证仍然是一个挑战。在此摘要中,我分析了为什么会这样,并且认为要解决此问题,我们需要软化模型和代码之间的边界。这有两个重要的优点:(1)使用演绎验证,可以更轻松地推理程序的高级行为;(2)在开发过程中,可以推理出应用程序的不完整。我讨论了VerCors项目中的验证技术如何支持朝着该目标迈出的第一步,并且我将勾勒出实现该目标所必需的未来步骤。

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