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Learning natural coding conventions., , , and . SIGSOFT FSE, page 281-293. ACM, (2014)A Convolutional Attention Network for Extreme Summarization of Source Code., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2091-2100. JMLR.org, (2016)Suggesting accurate method and class names., , , and . ESEC/SIGSOFT FSE, page 38-49. ACM, (2015)DIRE: A Neural Approach to Decompiled Identifier Naming., , , , , , and . ASE, page 628-639. IEEE, (2019)Learning to Represent Edits., , , , and . CoRR, (2018)A Survey of Machine Learning for Big Code and Naturalness., , , and . CoRR, (2017)Fast and Memory-Efficient Neural Code Completion., , , , , and . CoRR, (2020)Supervised learning over test executions as a test oracle., , and . SAC, page 1521-1531. ACM, (2021)Modelling Natural Language, Programs, and their Intersection., and . NAACL-HLT (Tutorial Abstracts), page 1-3. Association for Computational Linguistics, (2018)Effective Rule-Based Multi-label Classification with Learning Classifier Systems., , and . ICANNGA, volume 7824 of Lecture Notes in Computer Science, page 466-476. Springer, (2013)