SEER adds spectral-entropy role encoding from Laplacian spectra and empirically calibrated time-weighted calling contexts to raise macro-F1 from 92.47% to 93.20% and accuracy from 92.52% to 93.98% on PyDesignNet for 23 GoF patterns.
https://www.oracle.com/technical-resources/articles/java/architect-evans- pt1.html
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SEER: Spectral Entropy Encoding of Roles for Context-Aware Attention-Based Design Pattern Detection
SEER adds spectral-entropy role encoding from Laplacian spectra and empirically calibrated time-weighted calling contexts to raise macro-F1 from 92.47% to 93.20% and accuracy from 92.52% to 93.98% on PyDesignNet for 23 GoF patterns.