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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.

Publisher:

Software Engineering Institute

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.