Safety architecture patterns provide knowledge about large scale design decisions for safety-critical systems. They provide good ways to avoid, detect, and handle faults in software or hardware. In this paper we revise existing architectural safety patterns and organize them to build up a pattern system. We add Goal Structuring Notation diagrams to the patterns to provide a structured overview of their architectural decisions. Based on these diagrams we analyze and present relationships between the patterns. The diagrams can also be used to argue about a systems's safety, which we show with an example.
Future automotive systems will exhibit increased levels of automation as well as ever tighter integration with other vehicles, traffic infrastructure, and cloud services. From safety perspective, this can be perceived as boon or baneit greatly increases complexity and uncertainty, but at the same time opens up new opportunities for realizing innovative safety functions. Moreover, cyberse curity becomes important as additional concern because attacks are now much more likely and severe. Unfortunately, there is lack of experience with security concerns in context of safety engineering in general and in automotive safety departments in particular. To remediate this problem, we propose a systematic pattern-based approach that interlinks safety and security patterns and provides guidance with respect to selection and combination of both types of patterns in context of system engineering. The application of a combined safety and security pattern engineering workflow is shown and demonstrated by an automotive use case scenario.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.