SBIR-STTR Award

Intelligent Adaptive Needs Characterization for M&S Systems Engineering
Award last edited on: 4/15/2019

Sponsored Program
STTR
Awarding Agency
DOD : MDA
Total Award Amount
$99,962
Award Phase
1
Solicitation Topic Code
MDA11-T003
Principal Investigator
Karen Ulferts

Company Information

5-D Systems Inc

1 Chisholm Trail Suite 3200
Round Rock, TX 78681
   (210) 366-8788
   steve.fendley@5dsystems.com
   www.5dsystems.com

Research Institution

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Phase I

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Phase I year
2012
Phase I Amount
$99,962
5-D Systems and the University of Texas San Antonio (UTSA) Autonomous Control Engineering (ACE) Laboratory will prototype a system concept and produce a long term development plan for a tool to intelligently assist MDA M&S Systems Engineers in understanding the needs of their stakeholders. Our prototype will address the elicitation, capture, characterization, and refinement of a stakeholder fundamental needs statement. Our approach is to apply expert decision making and evolutionary computing to the IBM® Rational® Unified Process (RUP®) task ‘elicit stakeholder requests’ to produce an interactive application that combines elicitation and analysis methods (interviews, workshops, brainstorming) with AI technology (fuzzy control logic, genetic programming). 5-D and UTSA will demonstrate systems engineering expertise, RUP experience, and artificial intelligence capabilities to design and develop the 5-D Stakeholder Needs Analysis Program (SNAP) tool. SNAP will enable MDA systems engineers to leverage upon expert systems to clarify, characterize, and validate their stakeholder need statements. SNAP will assist and guide the engineers through the initial phase of collecting and understanding the needs of their stakeholders by capturing inputs related to the stakeholder and their needs and prompting the engineers with intelligently formulated questions necessary to clarify and define the fundamental statement(s) of needs.

Keywords:
Rup, Stakeholder Needs Analysis Program (Snap), Semantics Analysis, Fuzzy Control Systems, Fuzzy Logic, Stakeholder Needs/Requests, Genetic Algorithms, Genetic Programming

Phase II

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