The hazard analysis and risk assessment (HARA) is a safety activity, which is performed during the concept phase of the functional safety standard ISO 26262. The results of this activity are usually documented by using a natural language. On the one hand, natural languages are expressive and powerful, but on the other hand, they are also ambiguous and complex. The usage of controlled natural languages (CNLs) is a means to reduce the drawbacks of natural languages. In this paper, we introduce controlled natural languages for the rationales of the three risk parameters: severity, exposure, and controllability to extend our set of CNLs for the HARA. In the first place, the application of controlled languages leads to more harmonized descriptions and rationales. Subsequently, an automatic processing based on these languages shall be implemented to enable the detection of inconsistencies across different HARA documentations.
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