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Efficient Identification of Safety Goals in the Automotive E/E Domain

Abstract : This paper addresses the problem of how to identify all safety goals for an item in the automotive E/E domain. The paper gives a background on the problem of hazard analysis and risk assessment in general, and for the automotive domain in particular. A key factor for success is to identify all the relevant hazardous events, which task constitutes a paradox. Either the specification of the possible driving situations and the system hazards are done too general and abstract implying a too conservative analysis, or done too detailed and specific ending up with an almost infinite list of hazardous events to consider. This paper addresses this paradox by the formulation of a number of rules enabling to reduce the potentially infinite set of candidates of hazardous events to a limited number, still sufficient to cover all safety goals. Besides that it enables solving the paradox of becoming both detailed and limited, it also can be used as a tool for reviewing the completeness of a set of safety goals.
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Submitted on : Tuesday, March 22, 2016 - 5:35:35 PM
Last modification on : Monday, October 2, 2017 - 7:02:02 PM
Long-term archiving on: : Thursday, June 23, 2016 - 4:21:49 PM

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  • HAL Id : hal-01292289, version 1

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Rolf Johansson. Efficient Identification of Safety Goals in the Automotive E/E Domain. 8th European Congress on Embedded Real Time Software and Systems (ERTS 2016), Jan 2016, TOULOUSE, France. ⟨hal-01292289⟩

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