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Code summarization (CS) and code generation (CG) are two crucial tasks in the field of automatic software development.
Some rapid approximate statistical procedures
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A 15 year perspective on automatic programming
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Bleu: a method for automatic evaluation of machine translation
K. Papineni, S. Roukos, T. Ward, and W. Zhu · 2002
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Jensen-shannon divergence and hilbert space embedding
B. Fuglede and F. Topsoe · 2004
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Rouge: A package for automatic evaluation of summaries
C.-Y. Lin · 2004
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METEOR: an automatic metric for MT evaluation with improved correlation with human judgments
S. Banerjee and A. Lavie · 2005
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A study of the documentation essential to software maintenance
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
K. Cho, B. van Merrienboer, Ç. Gülçehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio · 2014
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2015
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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A convolutional attention network for extreme summarization of source code
M. Allamanis, H. Peng, and C. A. Sutton · 2016
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Language to logical form with neural attention
L. Dong and M. Lapata · 2016
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Tree-to-sequence attentional neural machine translation
A. Eriguchi, K. Hashimoto, and Y. Tsuruoka · 2016
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Dual learning for machine translation
D. He, Y. Xia, T. Qin, L. Wang, N. Yu, T. Liu, and W. Ma · 2016
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Abstract syntax networks for code generation and semantic parsing
M. Rabinovich, M. Stern, and D. Klein · 2017
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Question answering and question generation as dual tasks
D. Tang, N. Duan, T. Qin, Z. Yan, and M. Zhou · 2017
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Dual supervised learning
Y. Xia, T. Qin, W. Chen, J. Bian, N. Yu, and T. Liu · 2017
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A syntactic neural model for general-purpose code generation
P. Yin and G. Neubig · 2017
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Visual question generation as dual task of visual question answering
Y. Li, N. Duan, B. Zhou, X. Chu, W. Ouyang, X. Wang, and M. Zhou · 2018
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Summarizing source code using a neural attention model
S. Iyer, I. Konstas, A. Cheung, and L. Zettlemoyer · 2016
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Latent predictor networks for code generation
W. Ling, P. Blunsom, E. Grefenstette, K. M. Hermann, T. Kociský, F. Wang, and A. W. Senior · 2016
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A parallel corpus of python functions and documentation strings for automated code documentation and code generation
A. V. M. Barone and R. Sennrich · 2017
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Deep code comment generation
X. Hu, G. Li, X. Xia, D. Lo, and Z. Jin
Cited in the paper.
Summarizing source code with transferred API knowledge
X. Hu, G. Li, X. Xia, D. Lo, S. Lu, and Z. Jin
Cited in the paper.
Z. Sun, Q. Zhu, L. Mou, Y. Xiong, G. Li, and L. Zhang · 2018
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Improving automatic source code summarization via deep reinforcement learning
Y. Wan, Z. Zhao, M. Yang, G. Xu, H. Ying, J. Wu, and P. S. Yu · 2018
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Dual ask-answer network for machine reading comprehension
H. Xiao, F. Wang, Y. Feng, and J. Zheng · 2018
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