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Finding codes given natural language query isb eneficial to the productivity of software developers.
Roberta: A robustly optimized bert pretraining approach
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Simplifying deep-learning-based model for code search
Chao Liu, Xin Xia, David Lo, Zhiwei Liu, A. Hassan, and Shanping Li. 2020b · 2005
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Sourcerer: a search engine for open source code supporting structure-based search
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Neural code search revisited: Enhancing code snippet retrieval through natural language intent
Geert Heyman and Tom Van Cutsem. 2020 · 2008
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Opportunities and challenges in code search tools
C. Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, and J. Grundy. 2020a · 2011
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Query expansion via wordnet for effective code search
Meili Lu, Xiaobing Sun, S. Wang, D. Lo, and Yucong Duan. 2015 · 2015
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Codehow: Effective code search based on api understanding and extended boolean model (e)
Fei Lv, H. Zhang, Jian-Guang Lou, S. Wang, D. Zhang, and Jianjun Zhao. 2015 · 2015
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Natural language inference by tree-based convolution and heuristic matching
Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, and Zhi Jin. 2016 · 2016
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Query expansion based on crowd knowledge for code search
Liming Nie, He Jiang, Zhilei Ren, Zeyi Sun, and Xiaochen Li. 2016 · 2016
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From word embeddings to document similarities for improved information retrieval in software engineering
Xin Ye, Hui Shen, Xiao Ma, Razvan C. Bunescu, and Chang Liu. 2016 · 2016
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Enhanced lstm for natural language inference
Qian Chen, Xiao-Dan Zhu, Zhenhua Ling, Si Wei, Hui Jiang, and D. Inkpen. 2017 · 2017
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Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes. 2017 · 2017
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A parallel corpus of python functions and documentation strings for automated code documentation and code generation
Antonio Valerio Miceli Barone and Rico Sennrich. 2017 · 2017
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A survey of machine learning for big code and naturalness
Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, and Charles Sutton. 2018 · 2018
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Supporting code search with context-aware, analytics-driven, effective query reformulation
M. M. Rahman. 2019 · 2019
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Automatic query reformulation for code search using crowdsourced knowledge
M. M. Rahman, C. Roy, and D. Lo. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Multi-modal attention network learning for semantic source code retrieval
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, and Philip S. Yu. 2019 · 2019
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Coacor: Code annotation for code retrieval with reinforcement learning
Ziyu Yao, Jayavardhan Reddy Peddamail, and Huan Sun. 2019 · 2019
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Codebert: A pre-trained model for programming and natural languages
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Xiaodong Gu, Hongyu Zhang, and Sunghun Kim. 2018 · 2018
Cited alongside, same era.
Retrieval on source code: a neural code search
Saksham Sachdev, H. Li, Sifei Luan, S. Kim, K. Sen, and S. Chandra. 2018 · 2018
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Learning semantic textual similarity from conversations
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. 2018 · 2018
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StaQC: A systematically mined question-code dataset from stack overflow
Ziyu Yao, Daniel S Weld, Wei-Peng Chen, and Huan Sun. 2018 · 2018
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Learning to mine aligned code and natural language pairs from stack overflow
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, and Graham Neubig. 2018 · 2018
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A theoretical analysis of contrastive unsupervised representation learning
S. Arora, Hrishikesh Khandeparkar, M. Khodak, Orestis Plevrakis, and Nikunj Saunshi. 2019 · 2019
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When deep learning met code search
José Cambronero, Hongyu Li, S. Kim, K. Sen, and S. Chandra. 2019 · 2019
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Zhangyin Feng, Daya Guo, Duyu Tang, N. Duan, X. Feng, Ming Gong, Linjun Shou, B. Qin, Ting Liu, Daxin Jiang, and M. Zhou. 2020 · 2020
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Graphcodebert: Pre-training code representations with data flow
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, L. Zhou, N. Duan, Jian Yin, Daxin Jiang, and M. Zhou. 2020 · 2020
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A multi-perspective architecture for semantic code search
Rajarshi Haldar, Lingfei Wu, JinJun Xiong, and Julia Hockenmaier. 2020 · 2020
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Contrastive distillation on intermediate representations for language model compression
S. Sun, Zhe Gan, Y. Cheng, Yuwei Fang, Shuohang Wang, and Jing jing Liu. 2020 · 2020
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Are the code snippets what we are searching for? a benchmark and an empirical study on code search with natural-language queries
Shuhan Yan, Hang Yu, Yuting Chen, Beijun Shen, and Lingxiao Jiang. 2020 · 2020
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Adversarial training for code retrieval with question-description relevance regularization
Jie Zhao and Huan Sun. 2020 · 2020
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Codexglue: A machine learning benchmark dataset for code understanding and generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, L. Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, and Shujie Liu. 2021 · 2021
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