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cs.SE2019
Taxonomy of Real Faults in Deep Learning Systems
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota +3
The growing application of deep neural networks in safety-critical domains makes the analysis of faults that occur in such systems of enormous importance. In this paper we introduc…
cs.SE2019★ 3 cited
On Learning Meaningful Code Changes via Neural Machine Translation
Michele Tufano, Jevgenija Pantiuchina, Cody Watson +2
Recent years have seen the rise of Deep Learning (DL) techniques applied to source code. Researchers have exploited DL to automate several development and maintenance tasks, such a…