Page 246 - 《软件学报》2021年第7期
P. 246
2164 Journal of Software 软件学报 Vol.32, No.7, July 2021
[30] Yashu L, Zhihai W, Yueran H, Hanbing Y. A method of extracting malware features based on probabilistic topic model. Journal of
Computer Research and Development, 2019,56(11):2339 (in Chinese with English abstract). [doi: 10.7544/issn1000-1239.2019.
20190393]
[31] Gao Y, Liu H, Fan XZ, Niu ZD. Method name recommendation based on source code depository and feature matching. Ruan Jian
Xue Bao/Journal of Software, 2015,26(12):3062–3074 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/4817.
htm [doi: 10.13328/j.cnki.jos.004817]
[32] Broder AZ. On the resemblance and containment of documents. In: Proc. of the Compression and Complexity of SEQUENCES
1997 (Cat. No. 97TB100171). IEEE, 1997. 21–29. [doi: 10.1109/SEQUEN.1997.666900]
[33] Huang Y, Liu ZY, Chen XP, Xiong YF, Luo XN. Auxiliary method for code commit comprehension based on core-class
identification. Ruan Jian Xue Bao/Journal of Software, 2017,28(6):1418–1434 (in Chinese with English abstract). http://www.jos.
org.cn/1000-9825/5225.htm [doi: 10.13328/j.cnki.jos.005225]
[34] Huang Y, Jia N, Zhou Q, Chen XP, Xiong YF, Luo XN. Method combining structural and semantic features to support code
commenting decision. Ruan Jian Xue Bao/Journal of Software, 2018,29(8):2226–2242 (in Chinese with English abstract). http://
www.jos.org.cn/1000-9825/5528.htm [doi: 10.13328/j.cnki.jos.005528]
[35] Lin ZQ, Zou YZ, Zhao JF, Cao YK, Xie B. Software text semantic search approach based on code structure knowledge. Ruan Jian
Xue Bao/Journal of Software, 2019,30(12):3714–3729 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/5609.
htm [doi: 10.13328/j.cnki.jos.005609]
[36] Mou L, Li G, Zhang L, Wang T, Jin Z. Convolutional neural networks over tree structures for programming language processing. In:
Proc. of the 30th AAAI Conf. on Artificial Intelligence. 2016. 1287–1293. [doi: 10.5555/3015812.3016002]
[37] Cao Y, Zou Y, Luo Y, Xie B, Zhao J. Toward accurate link between code and software documentation. Science China Information
Sciences, 2018,61(5):050105. [doi: 10.1007/s11432-017-9402-3]
[38] Chen C, Peng X, Sun J, Xing Z, Wang X, Zhao Y, Zhang H, Zhao W. Generative API usage code recommendation with parameter
concretization. Science China Information Sciences, 2019,62(9):192103. [doi: 10.1007/s11432-018-9821-9]
[39] Tai KS, Socher R, Manning CD. Improved semantic representations from tree-structured long short-term memory networks. In:
Proc. of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th Int’l Joint Conf. on Natural
Language Processing (Volume 1: Long Papers). 2015. 1556–1566. [doi: 10.3115/v1/P15-1150]
[40] Bahdanau D, Cho K, Bengio Y. Neural machine translation by jointly learning to align and translate. In: Proc. of the 3rd Int’l Conf.
on Learning Representations, ICLR 2015. 2015.
[41] Vinyals O, Fortunato M, Jaitly N. Pointer networks. In: Proc. of the 28th Int’l Conf. on Neural Information Processing Systems—
Volume 2. 2015. 2692–2700. [doi: 10.5555/2969442.2969540]
[42] Kingma DP, Ba J. ADAM: A method for stochastic optimization. In: Proc. of the 3rd Int’l Conf. on Learning Representations,
ICLR 2015. 2015.
[43] Loshchilov I, Hutter F. Decoupled weight decay regularization. In: Proc. of the Int’l Conf. on Learning Representations. 2018.
[44] Papineni K, Roukos S, Ward T, et al. BLEU: A method for automatic evaluation of machine translation. In: Proc. of the 40th
Annual Meeting on Association for Computational Linguistics. Association for Computational Linguistics, 2002. 311–318. [doi: 10.
3115/1073083.1073135]
[45] Denkowski M, Lavie A. Meteor universal: Language specific translation evaluation for any target language. In: Proc. of the 9th
Workshop on Statistical Machine Translation. 2014. 376–380. [doi: 10.3115/v1/W14-3348]
[46] Tu Z, Lu Z, Liu Y, Liu X, Li H. Modeling coverage for neural machine translation. In: Proc. of the 54th Annual Meeting of the
Association for Computational Linguistics (Volume 1: Long Papers). 2016. 76–85. [doi: 10.18653/v1/P16-1008]
[47] Mi H, Sankaran B, Wang Z, Ittycheriah A. Coverage embedding models for neural machine translation. In: Proc. of the 2016 Conf.
on Empirical Methods in Natural Language Processing. 2016. 955–960. [doi: 10.18653/v1/D16-1096]
[48] Gong C, He D, Tan X, Qin T, Wang L, Liu T. Y. Frage: Frequency-agnostic word representation. In: Proc. of the 32nd Int’l Conf.
on Neural Information Processing Systems. 2018. 1341–1352. [doi: 10.5555/3326943.3327066]