An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project

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Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. In 2022 CHI Conference on Human Factors in Computing Systems (USA). ACM, Article 332, 7 pages

Priyan Vaithilingam, Tianyi Zhang, and E. L. Glassman. 2022 · 2022

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Assessing the Quality of GitHub Copilot’s Code Generation. In Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering (Singapore, Singapore) (PROMISE 2022) . Association for Computing Machinery, New York, NY, USA, 62–71

Burak Yetistiren, Isik Ozsoy, and Eray Tuzun. 2022 · 2022

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LLM-Based Interaction for Content Generation: A Case Study on the Perception of Employees in an IT Department. In Proceedings of the 2023 ACM International Conference on Interactive Media Experiences (France) (IMX ’23) . ACM, 237–241

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Generative AI Assistants in Software Development Education: A vision for integrating Generative AI into educational practice, not instinctively defending against it

Christopher Bull and Ahmed Kharrufa. 2023 · 2023

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A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

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Large Language Models for Software Engineering: Survey and Open Problems

Angela Fan, Beliz Gokkaya, Mark Harman, Mitya L, Shubho Sengupta, Shin Yoo, and J M. Zhang. 2023a · 2023

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Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects

Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, Abbas Shah, amgad muneer, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Jia Wu, and Seyedali Mirjalili. 2023 · 2023

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Large Language Models for Software Engineering: A Systematic Literature Review

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Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, and Haoyu Wang. 2023 · 2023

Cited alongside, same era.

How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment

Original

Majeed Kazemitabaar, Xinying Hou, Austin Henley, Barbara J. Ericson, David Weintrop, and Tovi Grossman. 2023 · 2023

Cited alongside, same era.

“It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers

James Prather, Brent N. Reeves, Paul Denny, Brett A. Becker, Juho Leinonen, Andrew Luxton-Reilly, Garrett Powell, James Finnie-Ansley, and Eddie Antonio Santos. 2023 · 2023

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Exploring Early Adopters’ Perceptions of ChatGPT as a Code Generation Tool. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) . 88–93

Gian Luca Scoccia. 2023 · 2023

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Chat GPT & Google Bard AI: A Review. In Int Conf on IoT, Communication and Automation Technology (ICICAT) . 1–6

Shashi Kant Singh, Shubham Kumar, and Pawan Singh Mehra. 2023 · 2023

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User Acceptance of Information Technology: Toward a Unified View

Viswanath Venkatesh, Michael G. Morris, Gordon B. Davis, and Fred D. Davis. 2023 · 2023

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Software Testing with Large Language Model: Survey, Landscape, and Vision