The papers to read for this session are  and 
 M. Tufano, C. Watson, G. Bavota, M. Di Penta, M. White, and D. Poshyvanyk, “An empirical investigation into learning bug-fixing patches in the wild via neural machine translation.” in ASE, 2018, pp. 832–837.
 K. Liu et al., “Learning to spot and refactor inconsistent method names,” in Proceedings of the 41st international conference on software engineering, 2019, pp. 1–12.
 C. Le Goues, M. Pradel, and A. Roychoudhury, “Automated program repair,” Commun. ACM, 2019.
 Z. Chen, S. Kommrusch, M. Tufano, L.-N. Pouchet, D. Poshyvanyk, and M. Monperrus, “Sequencer: Sequence-to-sequence learning for end-to-end program repair,” arXiv preprint arXiv:1901.01808, 2018.
 M. Vasic, A. Kanade, P. Maniatis, D. Bieber, and R. singh, “Neural program repair by jointly learning to localize and repair,” in International conference on learning representations, 2019.