Static Analysis Classification: Line-Funded Research FY16-20

November 3, 2020 • Presentation

By

Lori Flynn

CMU SEI researchers developed several static analysis techniques and tools to enable practical classification that leads to more secure software and lowered cost.

Publisher

Software Engineering Institute

Topic or Tag

Abstract

Over a five-year period, CMU SEI researchers conducted DoD line-funded research, and developed several techniques and tools designed to do the following:

improve classifier precision and recall
improve data quality
enable classifier use via modular architecture
enable classifier use in continuous integration environments

The goal of this work is to enable practical classification for more secure software and lowered cost.