Abstract
This chapter presents high-level CORAS, which is an extension of the CORAS language to support hierarchical modeling. Hierarchical risk modeling allows the risk related information to be represented at different levels of details in one and the same diagram. High-level CORAS is designed to handle large and complex risk models by abstraction and to allow detailed analysis of selected issues by refinement. The established rules and techniques for likelihood analysis apply also for high-level CORAS, which means that we can conduct detailed likelihood analysis of selected diagram fragments at low levels of abstraction.
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© 2011 Springer-Verlag Berlin Heidelberg
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Lund, M.S., Solhaug, B., Stølen, K. (2011). The High-level CORAS Language. In: Model-Driven Risk Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12323-8_14
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DOI: https://doi.org/10.1007/978-3-642-12323-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12322-1
Online ISBN: 978-3-642-12323-8
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