2015 IEEE 16th International Symposium on High Assurance Systems Engineering 2015
DOI: 10.1109/hase.2015.17
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Formal Foundations for Hierarchical Safety Cases

Abstract: Safety cases are increasingly being required in many safety-critical domains to assure, using structured argumentation and evidence, that a system is acceptably safe. However, comprehensive system-wide safety arguments present appreciable challenges to develop, understand, evaluate, and manage, partly due to the volume of information that they aggregate, such as the results of hazard analysis, requirements analysis, testing, formal verification, and other engineering activities. Previously, we have proposed hi… Show more

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Cited by 20 publications
(9 citation statements)
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(17 reference statements)
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“…Lastly, we have applied modular structuring to specify an argument architecture, together with modular arguments, for the safety assurance of a ground-based detect and avoid capability used in UAS transit operations. Subsequently, we have applied hierarchical structuring to abstract argument fragments of the same system [27].…”
Section: Discussionmentioning
confidence: 99%
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“…Lastly, we have applied modular structuring to specify an argument architecture, together with modular arguments, for the safety assurance of a ground-based detect and avoid capability used in UAS transit operations. Subsequently, we have applied hierarchical structuring to abstract argument fragments of the same system [27].…”
Section: Discussionmentioning
confidence: 99%
“…However, we are interested in using formal methods to create (fragments of) arguments, as opposed to simply evidence nodes. The idea is to use the reasoning underlying the formal method/tool itself to create an argument for the suitability of the results produced and to provide additional insight into the analysis beyond the existence of the evidence 27 . We also want to be able to invoke the formal methods tool from within AdvoCATE while constructing the argument.…”
Section: Formal Methods Integrationmentioning
confidence: 99%
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