NSF award 2532587 · University of Texas at Arlington

Collaborative Research: EAGER: FDASS: Protect Intellectual Property of Software Code in the Age of Generative AI

Final report due

28 January 2028

in 467 days · The award ends on 30 September 2027.

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award ending 2027-09-30 · Research.gov
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Extension request16 Aug 2027in 302 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2027in 337 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 30 September 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2028.

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Award card

Award number: 2532587
Period of support: 1 Oct 2025 – 30 Sep 2027
Amount: $120,000
Awardee: University of Texas at Arlington, Arlington, TX
Program: DASS-Dsgng Accntble SW Systms
Directorate: CSE

Abstract

While generative artificial intelligence (AI) offers tremendous benefits in reshaping software engineering, they raise pressing ethical and legal concerns, particularly around the widespread use of large-scale training datasets, often assembled through web scraping, that may contain copyrighted software code, or proprietary content without proper consent. The opaque data usage challenges existing intellectual…

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