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A race is underway to embed advanced AI capabilities into products.
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Robert L. Forward. 1996 · 1996
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Yesterday, My Program Worked. Today, It Does Not. Why?. In Proceedings of the 7th European Software Engineering Conference Held Jointly with the 7th ACM SIGSOFT International Symposium on Foundations of Software Engineering (Toulouse, France) (ESEC/FSE-7) . Springer-Verlag, Berlin, Heidelberg, 253–267
Andreas Zeller. 1999 · 1999
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Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics . 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Test-Case Reduction for C Compiler Bugs
John Regehr, Yang Chen, Pascal Cuoq, Eric Eide, Chucky Ellison, and Xuejun Yang. 2012 · 2012
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The Bones of the System: A Case Study of Logging and Telemetry at Microsoft. In 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C) . 92–101
Titus Barik, Robert DeLine, Steven Drucker, and Danyel Fisher. 2016 · 2016
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Fairness Testing: Testing Software for Discrimination. 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, 498–510
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Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on fairness, accountability and transparency . PMLR, 77–91
Joy Buolamwini and Timnit Gebru. 2018 · 2018
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Metamorphic Testing: A Review of Challenges and Opportunities
Tsong Yueh Chen, Fei-Ching Kuo, Huai Liu, Pak-Lok Poon, Dave Towey, T. H. Tse, and Zhi Quan Zhou. 2018 · 2018
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 9459–9474
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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, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
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Remote, but Connected: How #TidyTuesday Provides an Online Community of Practice for Data Scientists
Nischal Shrestha, Titus Barik, and Chris Parnin. 2021 · 2021
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"There’s no way to keep up!": Diverse Motivations and Challenges Faced by Informal Learners of ML. In 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) . 1–11
Rimika Chaudhury, Philip J. Guo, and Parmit K. Chilana. 2022 · 2022
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PromptMaker: Prompt-Based Prototyping with 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 35, 8 pages
Ellen Jiang, Kristen Olson, Edwin Toh, Alejandra Molina, Aaron Donsbach, Michael Terry, and Carrie J Cai. 2022 · 2022
Grounded Copilot: How Programmers Interact with Code-Generating Models
Shraddha Barke, Michael B. James, and Nadia Polikarpova. 2023 · 2023
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Stephen Brade, Bryan Wang, Mauricio Sousa, Sageev Oore, and Tovi Grossman. 2023 · 2023
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Large Language Models for Software Engineering: Survey and Open Problems
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, and Jie M. Zhang. 2023 · 2023
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Holistic Evaluation of Language Models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, and Yuta Koreeda. 2023 · 2023
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Surveying the Developer Experience of Flaky Tests. In Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice (Pittsburgh, Pennsylvania) (ICSE-SEIP ’22) . Association for Computing Machinery, New York, NY, USA, 253–262
Owain Parry, Gregory M. Kapfhammer, Michael Hilton, and Phil McMinn. 2022 · 2022
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PromptChainer: Chaining Large Language Model Prompts through Visual Programming. 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 359, 10 pages
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, and Carrie J Cai. 2022a · 2022
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AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 385, 22 pages
Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022b · 2022
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Concept-Annotated Examples for Library Comparison. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (Bend, OR, USA) (UIST ’22) . Association for Computing Machinery, New York, NY, USA, Article 65, 16 pages
Litao Yan, Miryung Kim, Bjoern Hartmann, Tianyi Zhang, and Elena L. Glassman. 2022 · 2022
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ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam, Martin Wattenberg, and Elena Glassman. 2023 · 2023
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On the Design of AI-Powered Code Assistants for Notebooks. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 434, 16 pages
Andrew M Mcnutt, Chenglong Wang, Robert A Deline, and Steven M. Drucker. 2023 · 2023
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CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring
Vijayaraghavan Murali, Chandra Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, and Nachiappan Nagappan. 2023 · 2023
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Towards More Effective AI-Assisted Programming: A Systematic Design Exploration to Improve Visual Studio IntelliCode’s User Experience. In 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) . 185–195
Priyan Vaithilingam, Elena L. Glassman, Peter Groenwegen, Sumit Gulwani, Austin Z. Henley, Rohan Malpani, David Pugh, Arjun Radhakrishna, Gustavo Soares, Joey Wang, and Aaron Yim. 2023 · 2023
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Man Dies by Suicide After Talking with AI Chatbot, Widow Says
Chloe Xiang. 2023 · 2023
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WizardLM: Empowering Large Language Models to Follow Complex Instructions
Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, and Daxin Jiang. 2023 · 2023
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