Inception

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-13-C-7621
Agency Tracking Number: B2-1898
Amount: $1,497,405.00
Phase: Phase II
Program: SBIR
Awards Year: 2013
Solitcitation Year: 2011
Solitcitation Topic Code: MDA11-030
Solitcitation Number: 2011.2
Small Business Information
Modus Operandi, Inc.
709 South Harbor City Blvd., Suite 400, Melbourne, FL, 32901-1936
Duns: 130550262
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Teresa Nieten
 Scientist
 (321) 473-1426
 tnieten@modusoperandi.com
Business Contact
 Peter Dyson
Title: Chairman&CEO
Phone: (321) 473-1444
Email: pdyson@modusoperandi.com
Research Institution
N/A
Abstract
Modus Operandi proposes to continue the development of Inception, a collaborative intelligent service for searching, gathering, interpreting, validating, capturing, and documenting the characterization of stakeholder needs for Modeling and Simulation (M&S) systems. The first phase or the inception phase of the systems engineering process performed by the MDA Directorate of Engineering, Simulation Architecture (MDA/DES) is the most elusive and dynamic concept of the system development life cycle. The results of this phase, referred to as stakeholder needs or scope, include context, functional objectives, informational objectives, performance objectives, and priority as they are relative to M&S. The results from the inception phase are documented in requirements models or as unstructured or semi structured text as a requirements document. This information is difficult to share and can lead to duplication of effort across multiple MDA efforts. The Inception tool will increase ability to capture the needs, existing capabilities, and identified technologies from the semi-structured documentation and mapping the information into a semantic model. This normalized information will increase the ability to search across the documentation sent for key concepts as well as key words, and provide correlated information that can be leveraged for predictive analysis of needs, capabilities, and technology trends.

* information listed above is at the time of submission.

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