search menu icon-carat-right cmu-wordmark

Rapid Expansion of Classification Models to Prioritize Static Analysis Alerts for C

October 2017 Poster
Lori Flynn

Poster on research to create a method to automatically classify and prioritize alterts

Publisher:

Software Engineering Institute

Abstract

As automated static analysis tools identify more kinds of code flaws, the number of reported flaws (alerts) is increasing. Validation and repair of flaws discovered by static analysis requires manual effort from auditors and coders, a limited resource in every organization. In this work, we created a method to automatically classify and prioritize alerts that minimizes manual effort to address the large volume of alerts.