If \( P \) is risk probability, \( L \) is loss, then Risk Exposure (RE) is computed as:
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Risk Exposure (RE) is a fundamental risk assessment metric and is calculated as:
\[
RE = P \times L
\]
where \( P \) is the probability of occurrence and \( L \) is the loss incurred.
Step 1: Understanding Risk Exposure (RE)
Risk Exposure quantifies the expected loss due to a risk event and is calculated as:
\[
RE = \text{Probability of Risk} \times \text{Loss} = P \times L
\]
where:
- \( P \) represents the probability of the risk occurring.
- \( L \) represents the potential loss if the risk occurs.
Step 2: Explanation of Options
- Option (A) \( \frac{P}{L} \) is incorrect since division does not represent risk impact.
- Option (B) \( P + L \) is incorrect because summing probability and loss does not measure risk exposure.
- Option (C) \( P \times L \) is correct as per the standard risk exposure formula.
- Option (D) \( 2 \times P \times L \) is incorrect as there is no standard factor of 2 in RE computation.
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