Static Analysis Classification: Line-Funded Research FY16-20
November 2020 • Presentation
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.
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.