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With the rapid increase in the amount of public code repositories, developers maintain a great desire to retrieve precise code snippets by using natural language.
Efficiently computing static single assignment form and the control dependence graph
Ron Cytron, Jeanne Ferrante, Barry K. Rosen, Mark N. Wegman, and F. Kenneth Zadeck · 1991
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Llvm: A compilation framework for lifelong program analysis & transformation
Chris Lattner and Vikram Adve · 2004
Earlier work this paper cites.
Sourcerer: a search engine for open source code supporting structure-based search
Sushil Bajracharya, Trung Ngo, Erik Linstead, Yimeng Dou, Paul Rigor, Pierre Baldi, and Cristina Lopes · 2006
Earlier work this paper cites.
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Otávio Augusto Lazzarini Lemos, Sushil Krishna Bajracharya, and Joel Ossher · 2007
Earlier work this paper cites.
The end-to-end use of source code examples: An exploratory study
Reid Holmes, Rylan Cottrell, Robert J Walker, and Jorg Denzinger · 2009
Earlier work this paper cites.
Semantics-based code search
S. P. Reiss · 2009
Earlier work this paper cites.
Example-centric programming: integrating web search into the development environment
Joel Brandt, Mira Dontcheva, Marcos Weskamp, and Scott R Klemmer · 2010
Earlier work this paper cites.
Exemplar: A source code search engine for finding highly relevant applications
Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Chen Fu, and Qing Xie · 2011
Earlier work this paper cites.
Portfolio: finding relevant functions and their usage
Collin McMillan, Mark Grechanik, Denys Poshyvanyk, Qing Xie, and Chen Fu · 2011
Earlier work this paper cites.
A test-driven approach to code search and its application to the reuse of auxiliary functionality
Otávio Augusto Lazzarini Lemos, Sushil Bajracharya, Joel Ossher, Paulo Cesar Masiero, and Cristina Lopes · 2011
Earlier work this paper cites.
Improving source code search with natural language phrasal representations of method signatures
Emily Hill, Lori Pollock, and K Vijay-Shanker · 2011
Earlier work this paper cites.
Searching connected api subgraph via text phrases
Wing-Kwan Chan, Hong Cheng, and David Lo · 2012
Earlier work this paper cites.
Finding suitable programs: Semantic search with incomplete and lightweight specifications
K. T. Stolee · 2012
Earlier work this paper cites.
Automatic query reformulations for text retrieval in software engineering
Sonia Haiduc, Gabriele Bavota, Andrian Marcus, Rocco Oliveto, Andrea De Lucia, and Tim Menzies · 2013
Earlier work this paper cites.
Learning effective query transformations for enhanced requirements trace retrieval
Timothy Dietrich, Jane Cleland-Huang, and Yonghee Shin · 2013
Earlier work this paper cites.
Spotting working code examples
Iman Keivanloo, Juergen Rilling, and Ying Zou · 2014
Earlier work this paper cites.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, and Yoshua Bengio · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
Earlier work this paper cites.
Active code search: incorporating user feedback to improve code search relevance
Shaowei Wang, David Lo, and Lingxiao Jiang · 2014
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Nl-based query refinement and contextualized code search results: A user study
Emily Hill, Manuel Roldan-Vega, Jerry Alan Fails, and Greg Mallet · 2014
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Thesaurus-based automatic query expansion for interface-driven code search
Otávio AL Lemos, Adriano C de Paula, Felipe C Zanichelli, and Cristina V Lopes · 2014
Cited alongside, same era.
Convolutional neural networks over tree structures for programming language processing
Lili Mou, Ge Li, Lu Zhang, Tao Wang, and Zhi Jin · 2014
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Code completion with statistical language models
Veselin Raychev, Martin Vechev, and Eran Yahav · 2014
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Deep code search
Xiaodong Gu, Hongyu Zhang, and Sunghun Kim · 2018
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Neural code comprehension: A learnable representation of code semantics
Tal Ben-Nun, Alice Shoshana Jakobovits, and Torsten Hoefler · 2018
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Deep code comment generation
Xing Hu, Ge Li, Xin Xia, David Lo, and Zhi Jin · 2018
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Retrieval on source code: a neural code search
Saksham Sachdev, Hongyu Li, Sifei Luan, Seohyun Kim, Koushik Sen, and Satish Chandra · 2018
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Path-based function embedding and its application to specification mining
Daniel DeFreez, Aditya V Thakur, and Cindy Rubio-González · 2018
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Code vectors: understanding programs through embedded abstracted symbolic traces
Jordan Henkel, Shuvendu K Lahiri, Ben Liblit, and Thomas Reps · 2018
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Codehow: Effective code search based on api understanding and extended boolean model (e)
Fei Lv, Hongyu Zhang, Jian-guang Lou, Shaowei Wang, Dongmei Zhang, and Jianjun Zhao · 2015
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D. Manning · 2015
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Gated graph sequence neural networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel · 2015
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Query expansion via wordnet for effective code search
Meili Lu, Xiaobing Sun, Shaowei Wang, David Lo, and Yucong Duan · 2015
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Learning program embeddings to propagate feedback on student code
Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, and Leonidas Guibas · 2015
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Relationship-aware code search for javascript frameworks
Xuan Li, Zerui Wang, Qianxiang Wang, Shoumeng Yan, Tao Xie, and Hong Mei · 2016
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Deep api learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, and Sunghun Kim · 2016
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Api method recommendation without worrying about the task-api knowledge gap
Qiao Huang, Xin Xia, Zhenchang Xing, David Lo, and Xinyu Wang · 2018
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How to create natural language semantic search for arbitrary objects with deep learning
Hamel Husain and Ho-Hsiang Wu · 2018
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Towards natural language semantic code search
Hamel Husain and Ho-Hsiang Wu · 2018
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Improving automatic source code summarization via deep reinforcement learning
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, and Philip S Yu · 2018
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Deep learning similarities from different representations of source code
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, and Denys Poshyvanyk · 2018
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Tree-to-tree neural networks for program translation
Xinyun Chen, Chang Liu, and Dawn Song · 2018
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When deep learning met code search
Jose Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, and Satish Chandra · 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 Yu · 2019
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Codesearchnet challenge: Evaluating the state of semantic code search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, and Marc Brockschmidt · 2019
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Liang Cai, Haoye Wang, Qiao Huang, Xin Xia, Zhenchang Xing, and David Lo · 2019
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Improving code search with co-attentive representation learning
Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, and Yan Lei · 2020
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Detection of similar functions through the use of dominator information
A. Schäfer, W. Amme, and T. S. Heinze · 2020
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Improving syntactical clone detection methods through the use of an intermediate representation
P. M. Caldeira, K. Sakamoto, H. Washizaki, Y. Fukazawa, and T. Shimada · 2020
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