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A New Model for Semiautomatic Student Source Code Assessment

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Figure

Table 1. Description of attributes used in the source code representation.
Table 2. Results from the ”Classes to clusters“ evaluation for the clusters found by
Figure 1 also shows that the percentage of cor- cor-rectly clustered instances declines, as the  num-ber of combined different pools rises
Table 7. Results from applying the proposed algorithm on the third pool of programs (33 codes, 4 of them pass

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