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cs.SE2021
Counterfactual Explanations for Models of Code
Jürgen Cito, Isil Dillig, Vijayaraghavan Murali +1
Machine learning (ML) models play an increasingly prevalent role in many software engineering tasks. However, because most models are now powered by opaque deep neural networks, it…
cs.SE2021
Improving Code Autocompletion with Transfer Learning
Wen Zhou, Seohyun Kim, Vijayaraghavan Murali +1
Software language models have achieved promising results predicting code completion usages, and several industry studies have described successful IDE integrations. Recently, accur…