Empirical studies on code require standardized datasets of significant size extracted from real-world programs in order to be reproducible and generalisable. We argue that there is a need for such data sets that are executable and can therefore be used for experiments using static and dynamic analysis. A harness for such a data set should have high coverage in order to facilitate the construction of comprehensive models of program execution.
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Dietrich et al. (2017) studied this question.
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