STABILITY: Statistical Verification, Explanation Based Learning, and Interaction Testing for Complex Systems

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,094.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-13-C-0067
Award Id:
n/a
Agency Tracking Number:
O123-ER1-2112
Solicitation Year:
2012
Solicitation Topic Code:
OSD12-ER1
Solicitation Number:
2012.3
Small Business Information
Smart Information Flow Technologies, d/b/a SIFT (Currently SIFT, LLC)
211 N 1st St., Suite 300, Minneapolis, MN, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
103477993
Principal Investigator:
Daniel Bryce
Senior Scientist
(435) 213-5776
dbryce@sift.net
Business Contact:
Harry Funk
Vice President of Research and Dev.
(612) 339-7438
hfunk@sift.net
Research Institution:
n/a
Abstract
Complex systems are inherently difficult to analyze because they include multiple sub-systems that interact in stochastic and context-dependent ways. A particular challenge in designing such systems is to foresee the possible emergent interactions between the sub-systems. System repurposing makes the identification of interactions even more difficult, since the interactions vary along with the operational context. SIFT proposes to develop the STABILITY (Statistical Verification, Explanation Based Learning, and Interaction Testing for Complex Systems) system, a complex system design and analysis tool. STABILITY will support model based complex system development. STABILITY will combine human-guided workflow design, automated workflow analysis with statistical verification, succinct workflow analysis summarization with explanation based learning, and systematic workflow suite design with combinatorial interaction testing. STABILITY will provide a simple and effective framework in which to seek out, test, and understand interactions within complex systems.

* information listed above is at the time of submission.

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