SBIR/STTR Research Award

CodeSurgeon: Sound Full-Stack AI-driven Software Debloating

Award identifier b3fc1d5acbaa31725762facc187260c229c57bc3ffff7c5900eed105e3a53913Awarding agency Department of Defense · Navy

Award amount

$139,657

Program and phase

STTR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
TRAIL OF BITS INC
Proposal award date
2023-07-26
Contract end date
2024-02-01
UEI
YKMJEDNULYH6
Solicitation number
23.A
Topic code
N23A-T009

Research abstract

We propose to develop and transition CodeSurgeon: an adaptable, AI-guided, full-stack debloating system. CodeSurgeon is innovative and unique in the field because it produces high-quality debloated programs with improved security posture that are safe, reliable, and sound. Following the lessons learned from a broad comparative evaluation of debloating tools conducted by the PI , CodeSurgeon will integrate best-in-class technologies to create a general-purpose, high-assurance system for soundly and effectively debloating high-complexity NCS software that can be operated with minimal technical expertise. To demonstrate CodeSurgeon’s feasibility on NCS software, we will show through analysis and modeling in Phase I that our manually integrated prototype tool can safely and effectively debloat the nginx web server and the PX4 open-source drone autopilot software and libraries.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

6 SBIR/STTR records share this UEI (2015–2025). Reported award amounts total $3,951,980. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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