Intelligent Reasoning on the Impact of Changes to System Models and Requirements

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$999,823.00
Award Year:
2013
Program:
STTR
Phase:
Phase II
Contract:
HQ0147-13-C-7702
Award Id:
n/a
Agency Tracking Number:
B2-1943
Solicitation Year:
2011
Solicitation Topic Code:
MDA11-T003
Solicitation Number:
2011.B
Small Business Information
454 Pine Street, Suite 1C, Williamsport, PA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
128516114
Principal Investigator:
Todd Griffith
CTO
(570) 916-2056
tgriffith@discoverymachine.com
Business Contact:
Anna Griffith
CEO
(570) 916-6044
agriffith@discoverymachine.com
Research Institute:
Stevens Institute
Robert Cloutier
Castle Point on the Hudson
Hoboken, NJ, 07030-
(856) 470-0458
Nonprofit college or university
Abstract
As complex systems develop, there are inevitably changes to requirements and the system models as the team members formulate a more clear understanding of the customer needs and possible solutions. Often these changes are not coordinated since it is difficult to predict how one change may affect another and current requirements management and system modeling tools don't provide the type of two way traceability required. What ends up happening is that the design proceeds to the point where conflicts arises and certain requirements cannot be met. At that point, design changes are more costly and can derail an otherwise productive design team. We propose an intelligent software system which can aid in understanding the impacts of changes to requirements or system architecture and can identify nuanced interactions between them that only expert system engineers would. The proposed system is capable of understanding both system requirements and system architectures in a way which allows inferencing on proposed changes. The system uses ontological reasoning in a flexible way including potential interfaces to external ontology sources as well as a new context specific inferencing approach which leverages information about the specific issue being addressed to focus the ontological reasoning for improved results.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government