Towards managing variability in the safety design of an automotive hall effect sensor

D. Landuyt, Steven Op de beeck, A. Hovsepyan, Sam Michiels, W. Joosen, Sven Meynckens, G. D. Jong, Olivier Barais, M. Acher
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引用次数: 7

Abstract

This paper discusses the merits and challenges of adopting software product line engineering (SPLE) as the main development process for an automotive Hall Effect sensor. This versatile component is integrated into a number of automotive applications with varying safety requirements (e.g., windshield wipers and brake pedals). This paper provides a detailed explanation as to why the process of safety assessment and verification of the Hall Effect sensor is currently cumbersome and repetitive: it must be repeated entirely for every automotive application in which the sensor is to be used. In addition, no support is given to the engineer to select and configure the appropriate safety solutions and to explain the safety implications of his decisions. To address these problems, we present a tailored SPLE-based approach that combines model-driven development with advanced model composition techniques for applying and reasoning about specific safety solutions. In addition, we provide insights about how this approach can reduce the overall complexity, improve reusability, and facilitate safety assessment of the Hall Effect sensor.
汽车霍尔效应传感器安全设计的可变性管理
本文讨论了采用软件产品线工程(SPLE)作为汽车霍尔效应传感器主要开发过程的优点和挑战。这种多功能组件被集成到许多具有不同安全要求的汽车应用中(例如,挡风玻璃刮水器和刹车踏板)。本文详细解释了为什么霍尔效应传感器的安全评估和验证过程目前是繁琐和重复的:它必须完全重复用于传感器的每一个汽车应用。此外,也不支持工程师选择和配置适当的安全解决方案,并解释其决策的安全含义。为了解决这些问题,我们提出了一种量身定制的基于脾脏的方法,该方法将模型驱动开发与先进的模型组合技术相结合,用于应用和推理特定的安全解决方案。此外,我们还提供了关于这种方法如何降低整体复杂性、提高可重用性和促进霍尔效应传感器的安全评估的见解。
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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