A CASE-BASED REASONING SYSTEM FOR INTELLIGENT STRUCTURED SOFTWARE DEVELOPMENT

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$58,402.00
Award Year:
1988
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
8775
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Klein Assocs Inc
Po Box 264, Yellow Springs, OH, 45387
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
GARY A KLEIN
(513) 767-2691
Business Contact:
() -
Research Institution:
n/a
Abstract
THE OBJECTIVE IS TO DEVELOP A KNOWLEDGE-BASED ASSISTANT FOR THE SOFTWARE ENGINEERING (SE) PROCESS. A CASE-BASED-REASONING (CBR) APPROACH TO KNOWLEDGE ELICITATION IS PROPOSED AS A SENSITIVE AND EFFECTIVE STRATEGY TO DERIVE AND REPRESENT CRITICAL KNOWLEDGE. PHASE I WILL DEMONSTRATE THE FEASIBILITY OF USING A CBR APPROACH TO DEVELOPING A KNOWLEDGE-BASED ASSISTANT FOR THE EXTENSIVE AND COMPLEX TASKS ASSOCIATED WITH SOFTWARE ENGINEERING EFFORTS. CASE TOOLS HAVE BEEN BUILT TO ASSIST IN A PORTION OF THE SOFTWARE ENGINEERING PROCESS, BUT HAVE BEEN LIMITED IN RESULTS BY THEIR VIEW OF THE REQUIREMENTS NEEDED FOR DOMAIN SPECIFIC PROBLEMS. A KNOWLEDGE-BASED ASSISTANT IS REQUIRED TO PROVIDE THE EXPERIENCE OF SES IN A STRUCTURED, AND ENCAPSULATED FORMAT. THROUGH PROPER ELICITATION TECHNIQUES A CASE-BASE OF PRIOR EXPERIENCES CAN BE DEVELOPED TO PRODUCE A CBR SYSTEM. THIS SYSTEM CAN PROVIDE A CLASSIFICATION STRUCTURE FOR BOTH THE FORMAL AND INFORMAL METHODS USED BY SES TO DESIGN, IMPLEMENT, AND TEST SOFTWARE DESIGNS.

* information listed above is at the time of submission.

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