Chelsea LeBlanc

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Dynamic dataflow analyses find software errors by tracking meta-values associated with a program's runtime data. Despite their benefits, the orders-of-magnitude slowdowns that accompany these systems limit their use to the development stage; few users would tolerate such overheads. This work extends dynamic dataflow analyses with a novel sampling system(More)
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