Predicting Attack-prone Components with Source Code Static Analyzers
NORTH CAROLINA STATE UNIV AT RALEIGH
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No single vulnerability detection technique can identify all vulnerabilities in a software system. However, the vulnerabilities that are identified from a detection technique may be predictive of the residuals. We focus on creating and evaluating statistical models that predict the components that contain the highest risk residual vulnerabilities.
- Computer Programming and Software
- Computer Systems Management and Standards