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Model-Driven Risk Analysis - The CORAS Approach (Hardcover, 2011 ed.)
Loot Price: R1,568
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Model-Driven Risk Analysis - The CORAS Approach (Hardcover, 2011 ed.)
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The term risk is known from many fields, and we are used to
references to contractual risk, economic risk, operational risk,
legal risk, security risk, and so forth. We conduct risk analysis,
using either offensive or defensive approaches to identify and
assess risk. Offensive approaches are concerned with balancing
potential gain against risk of investment loss, while defensive
approaches are concerned with protecting assets that already exist.
In this book, Lund, Solhaug and Stolen focus on defensive risk
analysis, and more explicitly on a particular approach called
CORAS. CORAS is a model-driven method for defensive risk analysis
featuring a tool-supported modelling language specially designed to
model risks. Their book serves as an introduction to risk analysis
in general, including the central concepts and notions in risk
analysis and their relations. The authors' aim is to support risk
analysts in conducting structured and stepwise risk analysis. To
this end, the book is divided into three main parts. Part I of the
book introduces and demonstrates the central concepts and notation
used in CORAS, and is largely example-driven. Part II gives a
thorough description of the CORAS method and modelling language.
After having completed this part of the book, the reader should
know enough to use the method in practice. Finally, Part III
addresses issues that require special attention and treatment, but
still are often encountered in real-life risk analysis and for
which CORAS offers helpful advice and assistance. This part also
includes a short presentation of the CORAS tool support. The main
target groups of the book are IT practitioners and students at
graduate or undergraduate level. They will appreciate a concise
introduction into the emerging field of risk analysis, supported by
a sound methodology, and completed with numerous examples and
detailed guidelines.
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