SBIR/STTR Research Award

User-Defined Critics for Software Adaptation

Award identifier 479bb21fd3ac38cd3ed7a87154f27ed7aa834ffece45a88e27655e7748e2df5cAwarding agency Department of Defense · Defense Advanced Research Projects Agency

Award amount

$99,000

Program and phase

SBIR · Phase I

Award year

2002

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Award details

Awarding agency
Department of Defense
Branch
Defense Advanced Research Projects Agency
Recipient company
DISCOVERY MACHINE INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
JJ9BBEJC9K18
Solicitation number
Not reported
Topic code
Not reported

Research abstract

"This proposal investigates using a knowledge acquisition system called The Discovery MachineT to allow subject matter experts to construct critics to evolve software. As storage, memory, and processing speeds increase there is a push to evolve morecomplex software systems. This push arises from the desire to utilize untapped computational potential. Complex software development, however, is constrained by a bottleneck facing the industry. The bottleneck is not a hardware bottleneck a la vonNeumann, but rather a bottleneck of expertise. Software development requires skilled software engineers with experience designing and implementing large software systems. Unfortunately, the demand for these engineers far exceeds the supply, and thebottleneck will only narrow as demand increases. Our solution is to reduce the role of the software engineer in the development process. This means increasing the role of the SME, which also means increasing the role of tools for assisting the SME.Since development is evolutionary in nature, SMEs will need tools for not only new development, but also for the adaptation of software. Here we suggest using a combination of user-friendly knowledge acquisition tools, high-level formal languages(SBF-TMK) and meta-agent help systems to take automated software development to the next level. The most significant development within the target business sector is the explosion in amount and complexity of data a

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.

Research funding history

29 SBIR/STTR records share this UEI (2000–2024). Reported award amounts total $18,413,042. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, National Science Foundation, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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