Leveraging small software engineering data sets with pre-trained neural networks

Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, pp. 29-32, 2019.

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Abstract:

Many software engineering data sets, particularly those that demand manual labelling for classification, are necessarily small. As a consequence, several recent software engineering papers have cast doubt on the effectiveness of deep neural networks for classification tasks, when applied to these data sets. We provide initial evidence tha...More

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