SBIR/STTR Research Award

SBIR Phase I: Programmer-Friendly Automatic Code Fixes

Award identifier da32af4b7682dd5475a3404d9cc8f0794c75944642be18c1c86db58893f514e2Awarding agency National Science Foundation

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2018

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
IUVO AI, Inc.
Proposal award date
2018-01-01
Contract end date
2018-06-30
UEI
DAH4JVUJ7LG6
Solicitation number
Not reported
Topic code
IT

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to develop and bring to market tools that improve code quality and help avoid dangerous bugs, while also improving programmer productivity. Poor code quality leads to bugs which often translate into financial loses and can even endanger human life. A study by NIST estimated software bugs cost $59 billion annually. The key aspect of this project is a programmer-friendly language for describing software fixes. Successful adoption of the language by the programmer community can have a far-reaching positive impact upon the software community: programmers will have a common, formal, language to discuss ways to fix bugs, and the result of their collaboration could be used to automatically fix software systems. This Small Business Innovation Research (SBIR) Phase I project will address the research and technical challenges in providing programmers with a language to express their knowledge of error patterns and their fixes, and a tool that uses this information to check and fix software systems. The research objective is to refine the language such that it is easy to use by programmers, and to provide a scalable infrastructure. This will be achieved by iteratively improving both the language and the supporting infrastructure with feedback from early users. The anticipated result is that the technology will be applicable to a wide variety of bugs and to large code bases.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.