Software-Development.md

January 15, 2025 · View on GitHub

Paper Collection for Corpus

  1. [Preprint] Training Software Engineering Agents and Verifiers with SWE-Gym, 2024.12

  2. Agent Computer Interfaces Enable Software Engineering Language Models., 2024.03

    John Yang, Carlos E. Jimenez, Alexander Wettig, Shunyu Yao, Karthik Narasimhan, Ofir Press

  3. [Preprint] Design2Code: How Far Are We From Automating Front-End Engineering? arXiv, 2024.03

    Chenglei Si, Yanzhe Zhang, Zhengyuan Yang, Ruibo Liu, Diyi Yang

  4. [Preprint] RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation. arXiv, 2024.02

    Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, Xiaoyin Che, Zhiyuan Liu, Maosong Sun

  5. [Preprint] Automated Unit Test Improvement using Large Language Models at Meta. arXiv, 2024.02

    Nadia Alshahwan, Jubin Chheda, Anastasia Finegenova, Beliz Gokkaya, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, Eddy Wang

  6. [Preprint] Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants. arXiv, 2024.02

    Vincenzo Corso, Leonardo Mariani, Daniela Micucci, Oliviero Riganelli

  7. [Preprint] Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot. arXiv, 2024.02

    Ionut Daniel Fagadau, Leonardo Mariani, Daniela Micucci, Oliviero Riganelli

  8. [MSR] Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot. arXiv, 2024.02

    Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi

  9. [Preprint] CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. arXiv, 2024.01

    Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin

  10. [ICSE] Resolving Code Review Comments with Machine Learning., 2023.12

Alexander Frömmgen, Jacob Austin, Peter Choy, Nimesh Ghelani, Lera Kharatyan, Gabriela Surita, Elena Khrapko, Pascal Lamblin, Pierre-Antoine Manzagol, Marcus Revaj, Maxim Tabachnyk, Danny Tarlow, Kevin Villela, Dan Zheng, Satish Chandra, Petros Maniatis

  1. [Preprint] GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension. arXiv, 2023.12

    Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Yujia Qin, Yining Ye, Yaxi Lu, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun

  2. [Preprint] Experiential Co-Learning of Software-Developing Agents. arXiv, 2023.12

    Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun

  3. [Preprint] AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation. arXiv, 2023.12

    Dong Huang, Qingwen Bu, Jie M.Zhang, Michael Luck, Heming Cui

  4. [Preprint] Security Weaknesses of Copilot Generated Code in GitHub. arXiv, 2023.10

    Yujia Fu, Peng Liang, Amjed Tahir, Zengyang Li, Mojtaba Shahin, Jiaxin Yu

  5. [ICLR] ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. arXiv, 2023.07

    Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

  6. [Preprint] Communicative Agents for Software Development. arXiv, 2023.07

    Chen Qian, Xin Cong, Wei Liu, Cheng Yang, Weize Chen, Yusheng Su, Yufan Dang, Jiahao Li, Juyuan Xu, Dahai Li, Zhiyuan Liu, Maosong Sun

  7. [Preprint] Is Self-Repair a Silver Bullet for Code Generation? arXiv, 2023.06

    Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama

  8. [NLBSE] Zero-shot Prompting for Code Complexity Prediction Using GitHub Copilot., 2023.05

    Mohammed Latif Siddiq, Abdus Samee, Sk Ruhul Azgor, Md. Asif Haider, Shehabul Islam Sawraz, Joanna C. S. Santos

  9. [Hugging Face Blog] Creating a Coding Assistant with StarCoder., 2023.05

    Lewis Tunstall, Nathan Lambert, Nazneen Rajani, Edward Beeching, Teven Le Scao, Sheon Han, Philipp Schmid, Leandro von Werra, Sasha Rush

  10. [ACL] Self-Edit: Fault-Aware Code Editor for Code Generation. arXiv, 2023.05

    Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin

  11. [Preprint] Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT. arXiv, 2023.04

    Burak Yetiştiren, Işık Özsoy, Miray Ayerdem, Eray Tüzün

  12. [ICLR] Teaching Large Language Models to Self-Debug. arXiv, 2023.04

    Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou

  13. [Preprint] CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X. arXiv, 2023.03

    Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang

  14. [Preprint] The Impact of AI on Developer Productivity: Evidence from GitHub Copilot. arXiv, 2023.02

    Sida Peng, Eirini Kalliamvakou, Peter Cihon, Mert Demirer

  15. [NeurIPS] Toolformer: Language Models Can Teach Themselves to Use Tools. arXiv, 2023.02

    Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom

  16. [ICSE] On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. arXiv, 2023.02

    Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota

  17. [MSR] An empirical evaluation of GitHub copilot's code suggestions., 2022.10

    Nhan Nguyen, Sarah Nadi

  18. [ASE] Automatic Code Documentation Generation Using GPT-3. arXiv, 2022.09

    Junaed Younus Khan, Gias Uddin

  19. [Google Research Blog] ML-Enhanced Code Completion Improves Developer Productivity., 2022.07

    Maxim Tabachnyk and Stoyan Nikolov

  20. [Preprint] Grounded Copilot: How Programmers Interact with Code-Generating Models. arXiv, 2022.06

    Shraddha Barke, Michael B. James, Nadia Polikarpova

  21. [MAPS] Productivity Assessment of Neural Code Completion. arXiv, 2022.05

    Albert Ziegler, Eirini Kalliamvakou, Shawn Simister, Ganesh Sittampalam, Alice Li, Andrew Rice, Devon Rifkin, Edward Aftandilian

  22. [EICS] pix2code: Generating Code from a Graphical User Interface Screenshot. arXiv, 2017.05

    Tony Beltramelli