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Using Dynamic Sensitivity Analysis to Assess TestabilityThis paper discusses sensitivity analysis and its relationship to random black box testing. Sensitivity analysis estimates the impact that a programming fault at a particular location would have on the program's input/output behavior. Locations that are relatively \"insensitive" to faults can render random black box testing unlikely to uncover programming faults. Therefore, sensitivity analysis gives new insight when interpreting random black box testing results. Although sensitivity analysis is computationally intensive, it requires no oracle and no human intervention.
Document ID
20040121075
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Voas, Jeffrey (National Academy of Sciences - National Research Council Hampton, VA, United States)
Morell, Larry (NASA Langley Research Center Hampton, VA, United States)
Miller, Keith (NASA Langley Research Center Hampton, VA, United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 1990
Subject Category
Numerical Analysis
Funding Number(s)
CONTRACT_GRANT: NAG1-884
CONTRACT_GRANT: NAG1-824
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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