Deep code search. In International Conference on Software Engineering . IEEE, 933–944
Xiaodong Gu, Hongyu Zhang, and Sunghun Kim. 2018 · 2018
Later among the works it cites.
Query expansion based on statistical learning from code changes
Qing Huang, Yangrui Yang, Xue Zhan, Hongyan Wan, and Guoqing Wu. 2018 · 2018
Later among the works it cites.
Semantics-Based Code Search Using Input/Output Examples. In International Working Conference on Source Code Analysis and Manipulation . IEEE, 92–102
Renhe Jiang, Zhengzhao Chen, Zejun Zhang, Yu Pei, Minxue Pan, and Tian Zhang. 2018 · 2018
Later among the works it cites.
FaCoY: a code-to-code search engine. In International Conference on Software Engineering . 946–957
Kisub Kim, Dongsun Kim, Tegawendé F Bissyandé, Eunjong Choi, Li Li, Jacques Klein, and Yves Le Traon. 2018 · 2018
Later among the works it cites.
A comment-driven approach to API usage patterns discovery and search
Shin-Jie Lee, Xavier Lin, Wu-Chen Su, and Hsi-Min Chen. 2018 · 2018
Later among the works it cites.
Cross-project change-proneness prediction. In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) , Vol. 1. IEEE, 64–73
Chao Liu, Dan Yang, Xin Xia, Meng Yan, and Xiaohong Zhang. 2018b · 2018
Later among the works it cites.
Recommending github projects for developer onboarding
Chao Liu, Dan Yang, Xiaohong Zhang, Baishakhi Ray, and Md Masudur Rahman. 2018d · 2018
Later among the works it cites.
Evaluating how developers use general-purpose web-search for code retrieval. In Working Conference on Mining Software Repositories . 465–475
Md Masudur Rahman, Jed Barson, Sydney Paul, Joshua Kayani, Federico Andrés Lois, Sebastián Fernandez Quezada, Christopher Parnin, Kathryn T Stolee, and Baishakhi Ray. 2018 · 2018
Later among the works it cites.
Seeking the user interface
Steven P Reiss, Yun Miao, and Qi Xin. 2018 · 2018
Later among the works it cites.
Retrieval on source code: a neural code search. In ACM SIGPLAN International Workshop on Machine Learning and Programming Languages . 31–41
Saksham Sachdev, Hongyu Li, Sifei Luan, Seohyun Kim, Koushik Sen, and Satish Chandra. 2018 · 2018
Later among the works it cites.
Augmenting and structuring user queries to support efficient free-form code search
Raphael Sirres, Tegawendé F Bissyandé, Dongsun Kim, David Lo, Jacques Klein, Kisub Kim, and Yves Le Traon. 2018 · 2018
Later among the works it cites.
Accurate and scalable cross-architecture cross-os binary code search with emulation
Yinxing Xue, Zhengzi Xu, Mahinthan Chandramohan, and Yang Liu. 2018 · 2018
Later among the works it cites.
An overview of multi-task learning
Yu Zhang and Qiang Yang. 2018 · 2018
Later among the works it cites.
SOSRepair: Expressive Semantic Search for Real-World Program Repair
Afsoon Afzal, Manish Motwani, Kathryn Stolee, Yuriy Brun, and Claire Le Goues. 2019 · 2019
Later among the works it cites.
SCOR: source code retrieval with semantics and order. In Working Conference on Mining Software Repositories . IEEE, 1–12
Shayan Akbar and Avinash Kak. 2019 · 2019
Later among the works it cites.
When deep learning met code search. In International Symposium on Foundations of Software Engineering . 964–974
Jose Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, and Satish Chandra. 2019 · 2019
Later among the works it cites.
Capturing source code semantics via tree-based convolution over API-enhanced AST. In ACM International Conference on Computing Frontiers . 174–182
Long Chen, Wei Ye, and Shikun Zhang. 2019 · 2019
Later among the works it cites.
Asm2vec: Boosting static representation robustness for binary clone search against code obfuscation and compiler optimization. In IEEE Symposium on Security and Privacy . IEEE, 472–489
Steven HH Ding, Benjamin CM Fung, and Philippe Charland. 2019 · 2019
Later among the works it cites.
CodeKernel: a graph kernel based approach to the selection of API usage examples. In International Conference on Automated Software Engineering . IEEE, 590–601
Xiaodong Gu, Hongyu Zhang, and Sunghun Kim. 2019 · 2019
Later among the works it cites.
Enhance code search via reformulating queries with evolving contexts
Qing Huang and Guoqing Wu. 2019a · 2019
Later among the works it cites.
QE-integrating framework based on Github knowledge and SVM ranking
Qing Huang and Huaiguang Wu. 2019b · 2019
Later among the works it cites.
Deep learning the semantics of change sequences for query expansion
Qing Huang, Yang Yang, and Ming Cheng. 2019 · 2019
Later among the works it cites.
A Query Expansion Method Based on Evolving Source Code
Huan Jin and Lei Xiong. 2019 · 2019
Later among the works it cites.
Features and how to find them: a survey of manual feature location
Jacob Krüger, Thorsten Berger, and Thomas Leich. 2019 · 2019
Later among the works it cites.
Reinforcement Learning of Code Search Sessions. In Asia-Pacific Software Engineering Conference . IEEE, 458–465
Wei Li, Shuhan Yan, Beijun Shen, and Yuting Chen. 2019 · 2019
Later among the works it cites.
A two-phase transfer learning model for cross-project defect prediction
Chao Liu, Dan Yang, Xin Xia, Meng Yan, and Xiaohong Zhang. 2019c · 2019
Later among the works it cites.
Aroma: code recommendation via structural code search
Sifei Luan, Di Yang, Celeste Barnaby, Koushik Sen, and Satish Chandra. 2019 · 2019
Later among the works it cites.
Siamese: scalable and incremental code clone search via multiple code representations
Chaiyong Ragkhitwetsagul and Jens Krinke. 2019 · 2019
Later among the works it cites.
Slicing Based Code Recommendation for Type Based Instance Retrieval. In International Conference on Software and Systems Reuse . Springer, 149–167
Rui Sun, Hui Liu, and Leping Li. 2019 · 2019
Later among the works it cites.
Multi-modal attention network learning for semantic source code retrieval. In International Conference on Automated Software Engineering . IEEE, 13–25
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, and Philip Yu. 2019 · 2019
Later among the works it cites.
Code search based on alteration intent
Huaiguang Wu and Yang Yang. 2019 · 2019
Later among the works it cites.
User Interface Code Retrieval: A Novel Visual-Representation-Aware Approach
Yingtao Xie, Tao Lin, and Hongyan Xu. 2019 · 2019
Later among the works it cites.
CoaCor: code annotation for code retrieval with reinforcement learning. In The World Wide Web Conference . 2203–2214
Ziyu Yao, Jayavardhan Reddy Peddamail, and Huan Sun. 2019 · 2019
Later among the works it cites.
Enriching API Documentation with Code Samples and Usage Scenarios from Crowd Knowledge
Jingxuan Zhang, He Jiang, Zhilei Ren, Tao Zhang, and Zhiqiu Huang. 2019a · 2019
Later among the works it cites.
A novel neural source code representation based on abstract syntax tree. In 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE) . IEEE, 783–794
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Kaixuan Wang, and Xudong Liu. 2019b · 2019
Later among the works it cites.
S3: a scalable in-memory skip-list index for key-value store
Jingtian Zhang, Sai Wu, Zeyuan Tan, Gang Chen, Zhushi Cheng, Wei Cao, Yusong Gao, and Xiaojie Feng. 2019c · 2019
Later among the works it cites.
psc2code: Denoising Code Extraction from Programming Screencasts
Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, and Xiaohu Yang. 2020 · 2020
Closest in time.
Enhancing example-based code search with functional semantics
Zhengzhao Chen, Renhe Jiang, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang, and Xuandong Li. 2020 · 2020
Closest in time.
Unsupervised software repositories mining and its application to code search
Gang Hu, Min Peng, Yihan Zhang, Qianqian Xie, Wang Gao, and Mengting Yuan. 2020 · 2020
Closest in time.
A Code-Description Representation Learning Model Based on Attention. In International Conference on Software Analysis, Evolution and Reengineering . IEEE, 447–455
Qing Huang, An Qiu, Maosheng Zhong, and Yuan Wang. 2020 · 2020
Closest in time.
On the Replicability and Reproducibility of Deep Learning in Software Engineering
Original
Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John Grundy, and Xiaohu Yang. 2020a · 2020
Closest in time.
Simplifying Deep-Learning-Based Model for Code Search
Original
Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E Hassan, and Shanping Li. 2020b · 2020
Closest in time.
Improving Code Search with Co-Attentive Representation Learning. In International Conference on Program Comprehension
Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, and Yan Lei. 2020 · 2020
Closest in time.
Multi-Dimension Convolutional Neural Network for Bug Localization
Bei Wang, Ling Xu, Meng Yan, Chao Liu, and Ling Liu. 2020 · 2020
Closest in time.
Are the Code Snippets What We Are Searching for? A Benchmark and an Empirical Study on Code Search with Natural-Language Queries. In International Conference on Software Analysis, Evolution and Reengineering . IEEE, 344–354
Shuhan Yan, Hang Yu, Yuting Chen, Beijun Shen, and Lingxiao Jiang. 2020 · 2020
Closest in time.
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. In The World Wide Web Conference . 2309–2319
Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, and Shikun Zhang. 2020 · 2020
Closest in time.
Query expansion via learning change sequences
Qun Zou and Changquan Zhang. 2020 · 2020
Closest in time.
Summarizing source code using a neural attention model. In AMACL . 2073–2083
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer. 2016 · 2083
Closest in time.