Deep API Learning
Table 3: BLEU scores of different RNN Encoder-Decoder Models (%)
['Encoder-Decoder Model', 'Top1', 'Top5', 'Top10']
The attention-based RNN Encoder-Decoder outperforms the basic RNN Encoder-Decoder model on API learning. The relative improvement in the top 1, 5, and 10 results (in terms of BLEU score) is 8%, 5% and 4%, respectively. This result confirms the effectiveness of the attention-based RNN Encoder-Decoder used in our approach. The improvement in the top 1, 5, and 10 results (in terms of BLEU score) is 4%, 2% and 1%, respectively. The results confirm the usefulness of the proposed cost function for enhancing the RNN Encoder-Decoder model.