Software System Reliability Analysis

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$750,000.00
Award Year:
2010
Program:
STTR
Phase:
Phase II
Contract:
W911QX-10-C-0066
Award Id:
83495
Agency Tracking Number:
O064-SP4-2026
Solicitation Year:
n/a
Solicitation Topic Code:
OSD 06TSP4
Solicitation Number:
n/a
Small Business Information
317 N. Aurora Street, Ithaca, NY, 14850
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
603978321
Principal Investigator:
MichaelMcDougall
Senior Scientist
(607) 273-7340
mcdougall@grammatech.com
Business Contact:
RayTeitelbaum
CEO
(607) 273-7340
tt@grammatech.com
Research Institute:
West Virgina University
Tim Menzies
866 Chestnut Ridge Road
PO Box 6845
Morgantown, WV, 26506
(304) 293-3998

Abstract
System reliability is a fundamental requirement for safety-critical weapons systems. A key challenge is identifying reliability problems early so that they can be fixed quickly and cheaply. Reliability problems are often integration problems: integration often reveals that flaws that seemed minor in isolated components but lead to serious system-wide reliability problems. The combination of static source code analysis with data mining offers the potential to identify reliability problems before integration. By applying data mining to the data generated through static analysis, we can recognize patterns that indicate when a software system is becoming a reliability risk. We propose a tool that will flag components that are likely to cause integration problems later in development, giving engineers time to investigate and solve problems before the expensive integration step. The proposed tool will collect metrics from the target system; learn patterns for correct and faulty system both passively and interactively; refine the patterns when new data is gathered; and issue reports pointing out software modules that pose reliability risks.

* information listed above is at the time of submission.

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