Fetching the paper…
Reading the bibliography…
Code translation tools (transpilers) are developed for automatic source-to-source translation.
Individual comparisons by ranking methods
Frank Wilcoxon. 1992 · 1992
Earlier work this paper cites.
Organizational research: Determining appropriate sample size in survey research appropriate sample size in survey research
JWKJW Kotrlik and CCHCC Higgins. 2001 · 2001
Earlier work this paper cites.
Effect sizes for research: A broad practical approach
Robert J Grissom and John J Kim. 2005 · 2005
Earlier work this paper cites.
Feedback-directed random test generation. In 29th International Conference on Software Engineering (ICSE’07) . IEEE, 75–84
Carlos Pacheco, Shuvendu K Lahiri, Michael D Ernst, and Thomas Ball. 2007 · 2007
Earlier work this paper cites.
AURA: A Hybrid Approach to Identify Framework Evolution. In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1 (Cape Town, South Africa) (ICSE ’10) . Association for Computing Machinery, New York, NY, USA, 325–334
Wei Wu, Yann-Gaël Guéhéneuc, Giuliano Antoniol, and Miryung Kim. 2010 · 2010
Earlier work this paper cites.
Mining API Mapping for Language Migration. In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1 (Cape Town, South Africa) (ICSE ’10) . Association for Computing Machinery, New York, NY, USA, 195–204
Hao Zhong, Suresh Thummalapenta, Tao Xie, Lu Zhang, and Qing Wang. 2010 · 2010
Earlier work this paper cites.
Evosuite: automatic test suite generation for object-oriented software. In Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering . 416–419
Gordon Fraser and Andrea Arcuri. 2011 · 2011
Earlier work this paper cites.
A systematic study of automated program repair: Fixing 55 out of 105 bugs for $8 each. In 2012 34th International Conference on Software Engineering (ICSE) . IEEE, 3–13
Claire Le Goues, Michael Dewey-Vogt, Stephanie Forrest, and Westley Weimer. 2012 · 2012
Earlier work this paper cites.
Lexical statistical machine translation for language migration. In Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering . 651–654
Anh Tuan Nguyen, Tung Thanh Nguyen, and Tien N Nguyen. 2013 · 2013
Earlier work this paper cites.
Phrase-based statistical translation of programming languages. In Proceedings of the 2014 ACM International Symposium on New Ideas, New Paradigms, and Reflections on Programming & Software . 173–184
Svetoslav Karaivanov, Veselin Raychev, and Martin Vechev. 2014 · 2014
Earlier work this paper cites.
Divide-and-Conquer Approach for Multi-Phase Statistical Migration for Source Code. In Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering (Lincoln, Nebraska) (ASE ’15) . IEEE Press, 585–596
Anh Tuan Nguyen, Tung Thanh Nguyen, and Tien N. Nguyen. 2015a · 2015
Earlier work this paper cites.
Divide-and-conquer approach for multi-phase statistical migration for source code (t). In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 585–596
Anh Tuan Nguyen, Tung Thanh Nguyen, and Tien N Nguyen. 2015b · 2015
Earlier work this paper cites.
Learning to generate pseudo-code from source code using statistical machine translation. In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 574–584
Yusuke Oda, Hiroyuki Fudaba, Graham Neubig, Hideaki Hata, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura. 2015 · 2015
Earlier work this paper cites.
Reformulating branch coverage as a many-objective optimization problem. In 2015 IEEE 8th international conference on software testing, verification and validation (ICST) . IEEE, 1–10
Annibale Panichella, Fitsum Meshesha Kifetew, and Paolo Tonella. 2015 · 2015
Earlier work this paper cites.
Astor: A program repair library for java. In Proceedings of the 25th International Symposium on Software Testing and Analysis . 441–444
Matias Martinez and Martin Monperrus. 2016 · 2016
Earlier work this paper cites.
Mapping API elements for code migration with vector representations. In Proceedings of the 38th international conference on software engineering companion . 756–758
Trong Duc Nguyen, Anh Tuan Nguyen, and Tien N Nguyen. 2016 · 2016
Earlier work this paper cites.
Deepfix: Fixing common c language errors by deep learning. In Proceedings of the aaai conference on artificial intelligence , Vol. 31
Rahul Gupta, Soham Pal, Aditya Kanade, and Shirish Shevade. 2017 · 2017
Earlier work this paper cites.
A survey of machine learning for big code and naturalness
Miltiadis Allamanis, Earl T Barr, Premkumar Devanbu, and Charles Sutton. 2018 · 2018
Earlier work this paper cites.
Tree-to-tree neural networks for program translation
Xinyun Chen, Chang Liu, and Dawn Song. 2018 · 2018
Earlier work this paper cites.
Getafix: Learning to fix bugs automatically
Johannes Bader, Andrew Scott, Michael Pradel, and Satish Chandra. 2019 · 2019
Earlier work this paper cites.
Practical program repair via bytecode mutation. In Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis . 19–30
Ali Ghanbari, Samuel Benton, and Lingming Zhang. 2019 · 2019
Earlier work this paper cites.
The Curious Case of Neural Text Degeneration. In International Conference on Learning Representations
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2019 · 2019
Earlier work this paper cites.
An empirical study of obsolete answers on stack overflow
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ying Zou, and Ahmed E Hassan. 2019 · 2019
Cited alongside, same era.
CODIT: Code Editing With Tree-Based Neural Models
Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, and Baishakhi Ray. 2022 · 2020
Cited alongside, same era.
A comprehensive study on challenges in deploying deep learning based software. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 750–762
Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, and Xuanzhe Liu. 2020 · 2020
Cited alongside, same era.
Unsupervised translation of programming languages
Baptiste Roziere, Marie-Anne Lachaux, Lowik Chanussot, and Guillaume Lample. 2020 · 2020
Cited alongside, same era.
Unit test case generation with transformers and focal context
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, and Neel Sundaresan. 2020 · 2020
AceCoder: Utilizing Existing Code to Enhance Code Generation
Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, and Zhi Jin. 2023c · 2023
Later among the works it cites.
Towards Enhancing In-Context Learning for Code Generation
Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, and Zhi Jin. 2023d · 2023
Later among the works it cites.
Syntax and Domain Aware Model for Unsupervised Program Translation. In Proceedings of the 45th International Conference on Software Engineering (Melbourne, Victoria, Australia) (ICSE ’23) . IEEE Press, 755–767
Fang Liu, Jia Li, and Li Zhang. 2023 · 2023
Later among the works it cites.
Retrieval-based prompt selection for code-related few-shot learning. In Proceedings of the 45th International Conference on Software Engineering (ICSE’23)
Noor Nashid, Mifta Sintaha, and Ali Mesbah. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Cited alongside, same era.
Leveraging Automated Unit Tests for Unsupervised Code Translation. In International Conference on Learning Representations
Baptiste Roziere, Jie Zhang, Francois Charton, Mark Harman, Gabriel Synnaeve, and Guillaume Lample. 2021 · 2021
Cited alongside, same era.
A multi-modal transformer-based code summarization approach for smart contracts. In 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) . IEEE, 1–12
Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, and Miao Zhang. 2021 · 2021
Cited alongside, same era.
A syntax-guided edit decoder for neural program repair. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 341–353
Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, and Lu Zhang. 2021 · 2021
Cited alongside, same era.
CodeT: Code Generation with Generated Tests. In The Eleventh International Conference on Learning Representations
Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, and Weizhu Chen. 2022 · 2022
Cited alongside, same era.
TOGA: A Neural Method for Test Oracle Generation. In Proceedings of the 44th International Conference on Software Engineering (Pittsburgh, Pennsylvania) (ICSE ’22) . Association for Computing Machinery, New York, NY, USA, 2130–2141
Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz, and Shuvendu K. Lahiri. 2022 · 2022
Cited alongside, same era.
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. In The Eleventh International Conference on Learning Representations
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2022 · 2022
Cited alongside, same era.
Yutian Tang, Zhijie Liu, Zhichao Zhou, and Xiapu Luo. 2023 · 2023
Later among the works it cites.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Later among the works it cites.
Automated program repair in the era of large pre-trained language models. In Proceedings of the 45th International Conference on Software Engineering (ICSE 2023). Association for Computing Machinery
Chunqiu Steven Xia, Yuxiang Wei, and Lingming Zhang. 2023 · 2023
Later among the works it cites.
Conversational automated program repair
Chunqiu Steven Xia and Lingming Zhang. 2023 · 2023
Later among the works it cites.
On the significance of category prediction for code-comment synchronization
Zhen Yang, Jacky Wai Keung, Xiao Yu, Yan Xiao, Zhi Jin, and Jingyu Zhang. 2023 · 2023
Later among the works it cites.
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, and Xin Peng. 2023 · 2023
Later among the works it cites.
Repocoder: Repository-level code completion through iterative retrieval and generation
Fengji Zhang, Bei Chen, Yue Zhang, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, and Weizhu Chen. 2023 · 2023
Later among the works it cites.
A Survey of Large Language Models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen. 2023 · 2023
Later among the works it cites.
EMMA: a free Java code coverage tool
[n. d.] · 2024
Closest in time.
FSE-24-UniTrans
[n. d.] · 2024
Closest in time.
GeeksforGeeks
[n. d.] · 2024
Closest in time.
gotranspile/cxgo: Tool for transpiling C to Go
[n. d.] · 2024
Closest in time.
Hugging Face – The AI community building the future
[n. d.] · 2024
Closest in time.
immunant/c2rust: Migrate C code to Rust
[n. d.] · 2024
Closest in time.
platform.openai.com
[n. d.] · 2024
Closest in time.
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation
Fang Liu, Yang Liu, Lin Shi, Houkun Huang, Ruifeng Wang, Zhen Yang, and Li Zhang. 2024 · 2024
Closest in time.
Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond
Pengyu Xue, Linhao Wu, Zhongxing Yu, Zhi Jin, Zhen Yang, Xinyi Li, Zhenyu Yang, and Yue Tan. 2024 · 2024
Closest in time.
Improving domain-specific neural code generation with few-shot meta-learning
Zhen Yang, Jacky Wai Keung, Zeyu Sun, Yunfei Zhao, Ge Li, Zhi Jin, Shuo Liu, and Yishu Li. 2024 · 2024
Closest in time.