Vulnerability Discovery Model
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A Vulnerability Discovery Model (VDM) uses discovery event data with software reliability models for predicting the same. A thorough presentation of VDM techniques is available in.[1] Numerous model implementations are available in the MCMCBayes open source repository. Several VDM examples include:
- Alhazmi-Malaiya: Time based model (Alhazmi-Malaiya Logistic (AML) model)[2]
- Alhazmi-Malaiya: Effort based model[2]
- Rescorla: Quadratic Model and Exponential Model [3]
- Anderson: Thermodynamic Model[4]
- Kim: Weibull Model[5]
- Linear Model
- Hump-Shaped Model[6]
- Independent and Dependent Model[7]
- Vulnerability Discovery Modeling using Bayesian model averaging[8]
- Multivariate Vulnerability Discovery Models [9]