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A Public Repository of Data for Static-Analysis Classification Research

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posted on 06.11.2020, 17:31 authored by Lori FlynnLori Flynn
Static Analysis (SA) tools are a widely used and routine part of testing by DoD and commercial organizations. Validating and repairing defects discovered by SA tools can require more human effort from auditors and coders than organizations have available. Since 2016, researchers in the SEI CERT Dvision have been developing a method to automatically classify and prioritize alerts (warnings) and meta-alerts (alerts about code flaws or conditions) to help auditors and coders address large volumes of information with less effort. The purpose of our research has been to enable practical automated classification, so that all meta-alerts can be addressed.

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Copyright 2020 Carnegie Mellon University. https://www.sei.cmu.edu/legal/index.cfm

Date

02/11/2020

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