汽车领域多产品线分析框架的构建

Shaukat Ali, Paolo Arcaini, I. Hasuo, F. Ishikawa, Nian-Ze Lee
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引用次数: 7

摘要

汽车领域(特别是自动驾驶)的安全分析由于其复杂性和与物理环境的紧密结合而面临着前所未有的挑战。鉴于汽车类型的多样性,潜在的无限可能的环境和驾驶条件,设计一种系统的方法来管理单个汽车、汽车家庭和汽车家庭的危险、驾驶和环境条件的可变性,以促进有效的分析是至关重要的。为此,我们在一个研究项目中介绍了我们正在进行的工作,该研究项目的重点是设计一个基于模型的推理框架,用于系统地管理汽车领域的危险并支持安全分析(例如,伪造)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Framework for the Analysis of Multi-Product Lines in the Automotive Domain
Safety analyses in the automotive domain (in particular automated driving) present unprecedented challenges due to its complexity and tight integration with the physical environment. Given the diversity in the types of cars, potentially unlimited number of possible environmental and driving conditions, it is crucial to devise a systematic way of managing variability in hazards, driving and environmental conditions in individual cars, families of cars, and families of families of cars to facilitate analyses efficiently. To this end, we present our ongoing work in a research project that focuses on devising a model-based reasoning framework for systematically managing hazards in the automotive domain and supporting safety analyses (e.g., falsification).
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