USA flag logo/image

An Official Website of the United States Government

A Quantitative Method for Trading Off Dependability with Other System Attributes

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
20315
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
20315
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Decision Science Associates
P.O. Box 969 Vienna, VA 22183 0096
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1993
Title: A Quantitative Method for Trading Off Dependability with Other System Attributes
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $49,638.00
 

Abstract:

This research is aimed at producing a dependable system design prototype. It will serve as a testbed for research on the integration of dependability automation suport into the systems design process by assisting designers in quantifying tradeoffs between dependability and other system attributes. Phase I consists of three tasks. In Task 1, we will identify the important factors in systems design that lead to tradeoffs among attributes. This will involve: Identifying system design features, specifying dependability, performance, and other system attributes, and identifying the relationships between design features and system attributes. In Task 2, we will develop a methodology for quantifying tradeoffs. This will most likely be based on the principles of multiattribute utility analysis, but may include features from other methods as well (such as the analytic hierarchy process, fuzzy decision analysis, or imprecisely defined multiattribute utility analysis). In Task 3, we will specify the requirements and design of a prototype system to implement the methodoloy. We will also prototype any critical risk areas of the design. The dependable systems design prototype will be fully developed and demonstrated in Phase II.

Principal Investigator:

Jacob W Ulvila
7037540284

Business Contact:

Small Business Information at Submission:

Decision Science Associates
10980 Poplar Ford Trail Manassas, VA 22110

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No