Improving Predictability, Efficiency and Trust of Model-Based Proof Activity

Jean-Frédéric Étienne, Manuel Maarek, Florent Anseaume, V. Delebarre
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引用次数: 1

Abstract

We report on our industrial experience in using formal methods for the analysis of safety-critical systems developed in a model-based design framework. We first highlight the formal proof workflow devised for the verification and validation of embedded systems developed in Matlab/Simulink. In particular, we show that there is a need to: determine the compatibility of the model to be analysed with the proof engine, establish whether the model facilitates proof convergence or when optimisation is required, and avoid over-specification when specifying the hypotheses constraining the inputs of the model during analysis. We also stress on the importance of having a certain harness over the proof activity and present a set of tools we developed to achieve this purpose. Finally, we give a list of best practices, methods and any necessary tools aiming at guaranteeing the validity of the verification results obtained.
提高基于模型的证明活动的可预测性、效率和可信度
我们报告了在基于模型的设计框架中使用形式化方法分析安全关键系统的工业经验。我们首先强调了为在Matlab/Simulink中开发的嵌入式系统的验证和验证而设计的正式证明工作流。特别是,我们表明需要:确定要分析的模型与证明引擎的兼容性,确定模型是否有利于证明收敛或何时需要优化,并在指定分析过程中约束模型输入的假设时避免过度规范。我们还强调了在证明活动中具有一定控制的重要性,并提出了我们开发的一套工具来实现这一目的。最后,我们列出了最佳实践、方法和任何必要的工具,旨在保证所获得的验证结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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