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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.


Software Engineering Institute


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.