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Seventh International Conference on Quality Software (QSIC 2007)   pp. 396-403
A Scriptable, Statistical Oracle for a Metadata Extraction System
Kurt J. Maly, Old Dominion University
Steven J. Zeil, Old Dominion University
Mohammad Zubair, Old Dominion University
Ashraf Amrou, Old Dominion University
Ali Aazhar, Old Dominion University
Naveen Ratkal, Old Dominion University

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/QSIC.2007.9
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Abstract
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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Citation:  Kurt J. Maly, Steven J. Zeil, Mohammad Zubair, Ashraf Amrou, Ali Aazhar, Naveen Ratkal, "A Scriptable, Statistical Oracle for a Metadata Extraction System," qsic, pp. 396-403,  Seventh International Conference on Quality Software (QSIC 2007),  2007