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ChatGPT (Chat Generative Pre-trained Transformer) is a chatbot launched by OpenAI on November 30, 2022.
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
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Reinforcement Learning for Test Case Prioritization
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Summarizing Unstructured Logs in Online Services
Weibin Meng, Federico Zaiter, Yuheng Huang, Ying Liu, Shenglin Zhang, Yuzhe Zhang, Yichen Zhu, Tianke Zhang, En Wang, Zuomin Ren, Feng Wang, Shimin Tao, and Dan Pei. 2020 · 2012
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Towards a Big Data Curated Benchmark of Inter-project Code Clones. In 2014 IEEE International Conference on Software Maintenance and Evolution . 476–480
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Why We Refactor? Confessions of GitHub Contributors. In Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering (Seattle, WA, USA) (FSE 2016) . Association for Computing Machinery, New York, NY, USA, 858–870
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New fossils from Jebel Irhoud, Morocco and the pan-African origin of Homo sapiens
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Recovering Clear, Natural Identifiers from Obfuscated JS Names. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (Paderborn, Germany) (ESEC/FSE 2017) . Association for Computing Machinery, New York, NY, USA, 683–693
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code2seq: Generating Sequences from Structured Representations of Code. In International Conference on Learning Representations
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Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
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Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020 · 2020
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Empirically Revisiting and Enhancing IR-Based Test-Case Prioritization. In Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis (Virtual Event, USA) (ISSTA 2020) . Association for Computing Machinery, New York, NY, USA, 324–336
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Codex Limited Beta
Open AI. 2021 · 2021
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GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow
Sid Black, Leo Gao, Phil Wang, Connor Leahy, and Stella Biderman. 2021 · 2021
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Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harrison Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba. 2021 · 2021
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The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, and Connor Leahy. 2021 · 2021
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Program Merge Conflict Resolution via Neural Transformers. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Singapore, Singapore) (ESEC/FSE 2022) . Association for Computing Machinery, New York, NY, USA, 822–833
Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Elizabeth Dinella, Christian Bird, Jinu Jang, Neel Sundaresan, and Shuvendu K. Lahiri. 2022 · 2022
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Using Pre-Trained Models to Boost Code Review Automation. In Proceedings of the 44th International Conference on Software Engineering (Pittsburgh, Pennsylvania) (ICSE ’22) . Association for Computing Machinery, New York, NY, USA, 2291–2302
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CoSQA: 20,000+ Web Queries for Code Search and Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Online, 5690–5700
Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, and Nan Duan. 2021 · 2021
Cited alongside, same era.
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, and Shujie Liu. 2021 · 2021
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GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model
Ben Wang and Aran Komatsuzaki. 2021 · 2021
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CodeXGLUE
2022 · 2022
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Powering Next Generation Applications with OpenAI Codex
Open AI. 2022 · 2022
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FIRA: ¡u¿fi¡/u¿ne-Grained G¡u¿ra¡/u¿ph-Based Code Change Representation for Automated Commit Message Generation. In Proceedings of the 44th International Conference on Software Engineering (Pittsburgh, Pennsylvania) (ICSE ’22) . Association for Computing Machinery, New York, NY, USA, 970–981
Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, and Dan Hao. 2022 · 2022
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Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-Solution Study. In Proceedings of the 44th International Conference on Software Engineering (Pittsburgh, Pennsylvania) (ICSE ’22) . Association for Computing Machinery, New York, NY, USA, 187–199
Saad Ezzini, Sallam Abualhaija, Chetan Arora, and Mehrdad Sabetzadeh. 2022 · 2022
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GitHub Copilot
GitHub. 2022 · 2022
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Online Testing of RESTful APIs: Promises and Challenges. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Singapore, Singapore) (ESEC/FSE 2022) . Association for Computing Machinery, New York, NY, USA, 408–420
Alberto Martin-Lopez, Sergio Segura, and Antonio Ruiz-Cortés. 2022 · 2022
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Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22) . Association for Computing Machinery, New York, NY, USA, Article 332, 7 pages
Priyan Vaithilingam, Tianyi Zhang, and Elena L. Glassman. 2022 · 2022
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OpenAI’s ChatGPT chatbot: The good, the very bad, and the uncannily fun
Peter Weber. 2022 · 2022
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A Systematic Evaluation of Large Language Models of Code. Association for Computing Machinery, New York, NY, USA
Frank F. Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn. 2022 · 2022
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Automated Assertion Generation via Information Retrieval and Its Integration with Deep Learning. In Proceedings of the 44th International Conference on Software Engineering (Pittsburgh, Pennsylvania) (ICSE ’22) . Association for Computing Machinery, New York, NY, USA, 163–174
Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, and Qianxiang Wang. 2022 · 2022
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Duplicate Bug Report Detection: How Far Are We?
Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, and Lingxiao Jiang. 2022 · 2022
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The World’s Leading Online Programming Learning Platform
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VSCode Issue Tracker
Microsoft. 2023 · 2023
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Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python. In Proceedings of the 44th International Conference on Software Engineering (Pittsburgh, Pennsylvania) (ICSE ’22) . Association for Computing Machinery, New York, NY, USA, 2019–2030
Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, and Michael Lyu. 2022 · 2030
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