Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute

On multi-modal learning of editing source code. In 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 443–455

Saikat Chakraborty and Baishakhi Ray. 2021 · 2021

Earlier work this paper cites.

Introducing Devin

Cognition. 2023 · 2023

Earlier work this paper cites.

Metagpt: Meta programming for multi-agent collaborative framework

Original

Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al · 2023

Earlier work this paper cites.

Towards Better Multilingual Code Search through Cross-Lingual Contrastive Learning. In Proceedings of the 14th Asia-Pacific Symposium on Internetware . 22–32

Xiangbing Huang, Yingwei Ma, Haifang Zhou, Zhijie Jiang, Yuanliang Zhang, Teng Wang, and Shanshan Li. 2023 · 2023

Earlier work this paper cites.

Automatic Code Annotation Generation Based on Heterogeneous Graph Structure. In 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) . IEEE, 497–508

Zhijie Jiang, Haixu Xiong, Yingwei Ma, Yao Zhang, Yan Ding, Yun Xiong, and Shanshan Li. 2023 · 2023

Earlier work this paper cites.

Swe-bench: Can language models resolve real-world github issues?

Original

Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan. 2023 · 2023

Earlier work this paper cites.

Codeeditor: Learning to edit source code with pre-trained models

Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, and Zhiyi Fu. 2023 · 2023

Earlier work this paper cites.

At Which Training Stage Does Code Data Help LLMs Reasoning?

Original

Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, and Shanshan Li. 2023a · 2023

Earlier work this paper cites.

Mulcs: Towards a unified deep representation for multilingual code search. In 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) . IEEE, 120–131

Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong, and Xiangke Liao. 2023b · 2023

Earlier work this paper cites.

Octopack: Instruction tuning code large language models

Original

Niklas Muennighoff, Qian Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro Von Werra, and Shayne Longpre. 2023 · 2023

Earlier work this paper cites.

Direct preference optimization: Your language model is secretly a reward model

Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn. 2023 · 2023

Earlier work this paper cites.

Refactoring programs using large language models with few-shot examples. In 2023 30th Asia-Pacific Software Engineering Conference (APSEC) . IEEE, 151–160

Atsushi Shirafuji, Yusuke Oda, Jun Suzuki, Makoto Morishita, and Yutaka Watanobe. 2023 · 2023

Earlier work this paper cites.

ACWRecommender: A Tool for Validating Actionable Warnings with Weak Supervision. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 1876–1880

Zhipeng Xue, Zhipeng Gao, Xing Hu, and Shanping Li. 2023 · 2023

Earlier work this paper cites.

Lampr: Boosting the Effectiveness of Language-Generic Program Reduction via Large Language Models

Original

Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Shin Hwei Tan, and Chengnian Sun. 2023 · 2023

Earlier work this paper cites.

How to refactor this code? An exploratory study on developer-ChatGPT refactoring conversations. In Proceedings of the 21st International Conference on Mining Software Repositories . 202–206

Eman Abdullah AlOmar, Anushkrishna Venkatakrishnan, Mohamed Wiem Mkaouer, Christian Newman, and Ali Ouni. 2024 · 2024

Earlier work this paper cites.

Introducing Claude 3.5 Sonnet

Anthropic. 2024 · 2024

Earlier work this paper cites.

You name it, I run it: An LLM agent to execute tests of arbitrary projects

Original

Islem Bouzenia and Michael Pradel. 2024 · 2024

Cited alongside, same era.

Leveraging training and search for better software engineering agents

Alexander Golubev, Sergey Polezhaev, Karina Zainullina, Maria Trofimova, Ibragim Badertdinov, Yuri Anapolskiy, Daria Litvintseva, Simon Karasik, Filipp Fisin, Sergey Skvortsov, Maxim Nekrashevich, Anton Shevtsov, Sergey Abramov, and Boris Yangel. 2024 · 2024

Cited alongside, same era.

Qwen2. 5-coder technical report

Original

Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, et al · 2024

Cited alongside, same era.

Openai o1 system card

Original

Aaron Jaech, Adam Kalai, Adam Lerer, Adam Richardson, Ahmed El-Kishky, Aiden Low, Alec Helyar, Aleksander Madry, Alex Beutel, Alex Carney, et al · 2024

Cited alongside, same era.

Agentless: Demystifying llm-based software engineering agents

Original

Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang. 2024a · 2024

Later among the works it cites.

How to Pet a Two-Headed Snake? Solving Cross-Repository Compatibility Issues with Hera. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering . 694–705

Yifan Xie, Zhouyang Jia, Shanshan Li, Ying Wang, Jun Ma, Xiaoling Li, Haoran Liu, Ying Fu, and Xiangke Liao. 2024 · 2024

Later among the works it cites.

CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution

Original

Ruiyang Xu, Jialun Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Ben He, Shing-Chi Cheung, and Le Sun. 2024 · 2024

Later among the works it cites.

SelfPiCo: Self-Guided Partial Code Execution with LLMs. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis . 1389–1401

Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, and Shanping Li. 2024 · 2024

Later among the works it cites.