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A Scriptable, Statistical Oracle for a Metadata Extraction System
Author(s) -
Kurt Maly,
Steven J. Zeil,
Mohammad Zubair,
Ashraf Amrou,
Ali Aazhar,
Naveen Ratkal
Publication year - 2007
Publication title -
seventh international conference on quality software (qsic 2007)
Language(s) - English
Resource type - Book series
ISBN - 0-7695-3035-4
DOI - 10.1109/qsic.2007.9
An oracle is described for dynamic validation of an ap- plication (metadata extraction from scanned documents) where a moderate failure rate is acceptable provided that instances of failures during operation can be identified. The oracle combines a variety of deterministic tests and statis- tical tests based upon characteristics of the document col- lection on which the system operates. Because this system must adapt to a variety of document collections with differ- ent characteristics, a scripting language is developed that binds combinations of tests to the metadata fields expected in a given document collection. The suitability of the ora- cle is demonstrated by an experiment measuring its ability to mimic human judgments as to which of several alternate outputs for the same document would be preferred.

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