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Rapid Acquisition Demonstrator

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H9240518P0012
Agency Tracking Number: S181-004-0027
Amount: $95,202.42
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SOCOM18-004
Solicitation Number: 2018.1
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-06-27
Award End Date (Contract End Date): 2018-12-27
Small Business Information
201 Lackawanna Ave
Scranton, PA 18503
United States
DUNS: 080490536
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Theodore Brunelle
 (570) 878-1021
 tbrunelle@sciswift.com
Business Contact
 Ted Brunelle
Phone: (570) 878-1021
Email: grants@sciswift.com
Research Institution
N/A
Abstract

This proposal is for a feasibility study on the creation of an integrated software development platform to demonstrate how software projects can rapidly, reliably, and securely be created nearly on-demand. Furthermore, this study attempts to solve the rating and vetting of developers problem, based on their code quality, efficiency, and work product, using a novel machine learning system.The study contemplates a work-cloud of microservices, accessible only through unique VPN (virtual private network) keys. For the study, three development teams will be chosen, and given an identical set of projects to develop. Team members and their code will ranked through an AI (artificial intelligence) program module that will assemble and evaluate their code product. The AI-based program will quantitatively evaluate each programmers skills and efficiency, and render a report card of sorts, ranking them on an intuitive number of metrics.The proposed system will cohesively combine our own procedures and processes with open-source platforms. The system will employ metrics from several sources, including academic papers, studies and tests of our design. As its end-product, the evaluation system will generate an unbiased performance rating that will auto-vet and rank each programmer or developer to be considered for a given project.

* Information listed above is at the time of submission. *

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