Knowledge Acquisition Tools for Cognitive Design Aid and Development

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAH10-01-C-0021
Agency Tracking Number: A002-1587
Amount: $116,480.00
Phase: Phase I
Program: SBIR
Awards Year: 2001
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
SMA INFORMATION FLOW TECHNOLOGIES
2119 Oliver Avenue South, Minneapolis, MN, 55405
DUNS: 103477993
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Harry Funk
 Chief Scientist
 (612) 578-7438
 hfunk@SIFTech.com
Business Contact
 Amy Bromberg Funk
Title: President
Phone: (612) 377-6118
Email: abfunk@SIFTech.com
Research Institution
N/A
Abstract
Rotorcraft Pilot's Associate (RPA) flight test and other previous and ongoing system evaluations [Dorn99] have demonstrated the military utility of Cognitive Decision Aiding Systems (CDASs). There is, however, an increasing awareness that the knowledgewhich must be acquired, captured, represented, implemented and tuned offers a tremendous cost and process hurdle to the development, evolution and fielding of CDA Systems. What is needed is a means of tracing the lifecycle of every bit of knowledge in thesystem, and of every design decision that involves that knowledge-and of doing so in a manner that does not impose undue additional workload on the engineers building the system. In this effort we will examine the benefits realizable from implementing anumber of alternative proposed extensions to the Unified Modeling Language (UML) use case formalism. We anticipate melding attributes from a number of available extension proposals into a synthesized methodology enhancement that effectively integratesacquired knowledge in support of CDASs into the standard software development process. We will apply this methodology to a representative set of problem cases experienced on RPA and other similar efforts, analyze the contributions and refine the design.Other supporting advances in knowledge acquisition and tagging are described.Reduced cost of knowledge acquisition activities. More effective use of acquired knowledge. Better insight into influence effects of knowledge on standard software developmentenvironments. Capability to build critics analogous to existing software inspection tools through enhanced traceability.

* information listed above is at the time of submission.

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