Skip to the ledger

GrantClerk

NSF award 2450602 · University of Texas at Dallas

Collaborative Research: CIRC: Planning-C: An Infrastructure and Dataset for Research in Software Vulnerability Detection and Remediation

Final report due

28 January 2028

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

GrantClerk is a private service. We are not NSF or any government agency.

Dates this award owes

NSF emails you about this too.

  • Decide about an extension2 Jun 2027in 227 days

    award ending 2027-09-30 · Research.gov

  • Extension request16 Aug 2027in 302 days

    award ending 2027-09-30 · Research.gov

  • No-cost extension notice20 Sep 2027in 337 days

    award ending 2027-09-30 · Research.gov

  • Final report due28 Jan 2028in 467 days

    award ending 2027-09-30 · Research.gov

  • Project outcomes report due28 Jan 2028in 467 days

    award ending 2027-09-30 · Research.gov

  • Award is closed out28 Jan 2028in 467 days

    award ending 2027-09-30 · Research.gov

Annual report dates come from the budget period on your award notice. That date is not public, so it is not shown here.

How we got this date

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

Read the rule on Research.gov

Get a note before each report date

Add this award to your desk. We email you before each date and keep the dates in one place.

Renews each year until you cancel. Cancel any time from your account.

Already a member? Sign in

Award card

Award number
2450602
Period of support
1 Oct 2025 – 30 Sep 2027
Amount
$55,000
Awardee
University of Texas at Dallas, Richardson, TX
Program
CCRI-CISE Cmnty Rsrch Infrstrc
Directorate
CSE

Abstract

Software vulnerabilities, which are flaws or weaknesses in code that can be exploited by attackers, pose significant risks to computing infrastructures across industry, government, and academia. Current research on vulnerability detection and remediation faces several key challenges, including keeping pace with rapidly evolving software, enabling data-driven methods (e.g., artificial intelligence-based techniques),…

Is this right?

We copy this from the public NSF award record. Your award notice and NSF always win. If a date looks wrong, check Research.gov.