1. E-APR: Mapping the effectiveness of automated program repair techniques
2. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http://arxiv.org/abs/1409.0473
3. Daniel Balouek, Alexandra Carpen Amarie, Ghislain Charrier, Frédéric Desprez, Emmanuel Jeannot, Emmanuel Jeanvoine, Adrien Lèbre, David Margery, Nicolas Niclausse, Lucas Nussbaum, et al. 2012. Adding virtualization capabilities to the Grid'5000 testbed. In International Conference on Cloud Computing and Services Science. Springer, 3--20.
4. Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, and Baishakhi Ray. 2020. Codit: Code editing with tree-based neural models. IEEE Transactions on Software Engineering (2020).
5. Sequencer: Sequence-to-sequence learning for end-to-end program repair;Chen Zimin;IEEE Transactions on Software Engineering,2019