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GitHub issue resolving recently has attracted significant attention from academia and industry.
Visualization of test information to assist fault localization
James A Jones, Mary Jean Harrold, and John Stasko · 2002
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On the accuracy of spectrum-based fault localization
Rui Abreu, Peter Zoeteweij, and Arjan JC Van Gemund · 2007
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Genprog: A generic method for automatic software repair
Claire Le Goues, ThanhVu Nguyen, Stephanie Forrest, and Westley Weimer · 2011
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Semfix: Program repair via semantic analysis
Hoang Duong Thien Nguyen, Dawei Qi, Abhik Roychoudhury, and Satish Chandra · 2013
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A survey on software fault localization
W Eric Wong, Ruizhi Gao, Yihao Li, Rui Abreu, and Franz Wotawa · 2016
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Leveraging syntax-related code for automated program repair
Qi Xin and Steven P Reiss · 2017
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Shaping program repair space with existing patches and similar code
Jiajun Jiang, Yingfei Xiong, Hongyu Zhang, Qing Gao, and Xiangqun Chen · 2018
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Context-aware patch generation for better automated program repair
Ming Wen, Junjie Chen, Rongxin Wu, Dan Hao, and Shing-Chi Cheung · 2018
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Sketchfix: a tool for automated program repair approach using lazy candidate generation
Jinru Hua, Mengshi Zhang, Kaiyuan Wang, and Sarfraz Khurshid · 2018
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An empirical investigation into learning bug-fixing patches in the wild via neural machine translation
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, and Denys Poshyvanyk · 2018
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Codit: Code editing with tree-based neural machine translation
Saikat Chakraborty, Miltiadis Allamanis, and Baishakhi Ray · 2018
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Modelling bounded rationality in multi-agent interactions by generalized recursive reasoning
Ying Wen, Yaodong Yang, Rui Luo, and Jun Wang · 2019
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Improving multi-turn dialogue modelling with utterance rewriter
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, and Jie Zhou · 2019
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An empirical study of fault localization families and their combinations
Daming Zou, Jingjing Liang, Yingfei Xiong, Michael D Ernst, and Lu Zhang · 2019
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Tbar: Revisiting template-based automated program repair
Kui Liu, Anil Koyuncu, Dongsun Kim, and Tegawendé F Bissyandé · 2019
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Avatar: Fixing semantic bugs with fix patterns of static analysis violations
Kui Liu, Anil Koyuncu, Dongsun Kim, and Tegawendé F Bissyandé · 2019
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Fixminer: Mining relevant fix patterns for automated program repair
Anil Koyuncu, Kui Liu, Tegawendé F Bissyandé, Dongsun Kim, Jacques Klein, Martin Monperrus, and Yves Le Traon · 2020
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Dlfix: Context-based code transformation learning for automated program repair
Yi Li, Shaohua Wang, and Tien N Nguyen · 2020
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Coconut: combining context-aware neural translation models using ensemble for program repair
Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, and Lin Tan · 2020
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Metagpt: Meta programming for multi-agent collaborative framework
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, et al · 2023
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Parsel: Algorithmic reasoning with language models by composing decompositions
Eric Zelikman, Qian Huang, Gabriel Poesia, Noah Goodman, and Nick Haber · 2023
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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
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Nan Jiang, Thibaud Lutellier, and Lin Tan · 2021
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A syntax-guided edit decoder for neural program repair
Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, and Lu Zhang · 2021
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2022
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Neural program repair with execution-based backpropagation
He Ye, Matias Martinez, and Martin Monperrus · 2022
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Swe-bench: Can language models resolve real-world github issues?
Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan · 2023
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Large language models meet nl2code: A survey
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Wang Yongji, and Jian-Guang Lou · 2023
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A survey on language models for code
Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, and Rui Wang · 2023
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Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Tare: Type-aware neural program repair
Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, and Lu Zhang · 2023
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Auto-gpt for online decision making: Benchmarks and additional opinions
Hui Yang, Sifu Yue, and Yunzhong He · 2023
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Hello gpt-4o
OpenAI · 2024
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Autocoderover: Autonomous program improvement
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SWE-agent: Agent-computer interfaces enable automated software engineering
John Yang, Carlos E Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press · 2024
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Aider, ai pair programming in your terminal
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Codes: Natural language to code repository via multi-layer sketch
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Magis: Llm-based multi-agent framework for github issue resolution
Wei Tao, Yucheng Zhou, Wenqiang Zhang, and Yu Cheng · 2024
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