ISOMER--Augmenting Software Testing Confidence by Automated Comparison with a Lightweight Model.
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Kulp, Darren
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Abstract
Non-algorithmic constraints on software development can hinder testing efforts by creating pitfalls for the programmer or by hiding
data-dependent errors in complex codes. The ISOMER framework improves testing efficacy and confidence by further automating software
component and program testing. Using a familiar expression syntax to deffine constraints on the random stimulus generated, ISOMER subjects
software interfaces to dynamically-generated test cases, adding value over time.
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Color poster with text and chart describing research conducted by Darren Kulp, advised by Daniel J. Ernst.
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University of Wisconsin--Eau Claire Office of Research and Sponsored Programs.