Manpower and Personnel Estimation Methods for Post-Deployment Software Maintenance

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$119,933.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-05-C-0049
Agency Tracking Number:
A043-043-3425
Solicitation Year:
2004
Solicitation Topic Code:
A04-043
Solicitation Number:
2004.3
Small Business Information
KNOWLEDGE BASED SYSTEMS, INC.
1408 University Drive East, College Station, TX, 77840
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
Michael Painter
Senior Systems Analyst
(979) 260-5274
mpainter@kbsi.com
Business Contact:
Donielle Mayer
Business Operations Manager
(979) 260-5274
dmayer@kbsi.com
Research Institution:
n/a
Abstract
The goal of this effort is to develop an advanced methodology and supporting tools to facilitate the definition of post-deployment software support staff selection, staffing levels, and training requirements for emerging weapon systems. The resulting capabilities will greatly enhance the Army's ability to investigate, analyze, and quantify the impact of various software maintenance concepts on soldier-focused performance metrics (e.g., availability). The Phase I project will (i) determine appropriate model(s) for post-deployment software maintenance workload estimation, (ii) define a post-deployment software maintenance concept analysis and refinement methodology, (iii) define automation support needs for post-deployment software maintenance concept formulation and analysis, (iv) define prototype tool architecture and development strategy, and (v) document Phase I results and develop Phase II approach. The main results of the Phase I project will be (a) a new methodology for maintenance concept analysis and refinement and (b) an architectural strategy and initial design for the tools needed to support post-deployment software maintenance requirements analysis. The proposed developments will provide the capability to determine software operations and maintenance burden estimates and to analyze the implications of that burden in the context of different maintenance concepts.

* information listed above is at the time of submission.

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