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Large Language Models (LLMs) are widely used in Software Engineering (SE) for various tasks, including generating code, designing and documenting software, adding code comments, reviewing code, and writing test scripts.
A survey of agile methodologies
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Agile methodology for the standardization of engineering requirements using large language models
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Muhammad Waseem, Teerath Das, Aakash Ahmad, Mahdi Fehmideh, Peng Liang, and Tommi Mikkonen · 2023
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Gpt understands, too
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Investigating code generation performance of chat-gpt with crowdsourcing social data
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Christoph Treude · 2023
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Self-collaboration code generation via chatgpt
Yihong Dong, Xue Jiang, Zhi Jin, and Ge Li · 2023
A systematic literature review of pre-requirements specification traceability
Julia Mucha, Andreas Kaufmann, and Dirk Riehle · 2024
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Chatgpt vs sbst: A comparative assessment of unit test suite generation
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Not all requirements prioritization criteria are equal at all times: A quantitative analysis
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Zeeshan Rasheed, Muhammad Waseem, Aakash Ahmad, Kai-Kristian Kemell, Wang Xiaofeng, Anh Nguyen Duc, and Pekka Abrahamsson · 2024
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Abdul Malik Sami, Zeeshan Rasheed, Kai-Kristian Kemell, Muhammad Waseem, Terhi Kilamo, Mika Saari, Anh Nguyen Duc, Kari Systä, and Pekka Abrahamsson · 2024
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Wei Ma, Shangqing Liu, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, and Yang Liu · 2023
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Towards human-bot collaborative software architecting with chatgpt
Aakash Ahmad, Muhammad Waseem, Peng Liang, Mahdi Fahmideh, Mst Shamima Aktar, and Tommi Mikkonen · 2023
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Grounded copilot: How programmers interact with code-generating models
Shraddha Barke, Michael B James, and Nadia Polikarpova · 2023
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Llm-based agents for automating the enhancement of user story quality: An early report
Zheying Zhang, Maruf Rayhan, Tomas Herda, Manuel Goisauf, and Pekka Abrahamsson · 2024
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Large language model evaluation via multi ai agents: Preliminary results
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Hallucination is inevitable: An innate limitation of large language models
Ziwei Xu, Sanjay Jain, and Mohan Kankanhalli · 2024
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