Zobrazeno 1 - 10
of 1 701
pro vyhledávání: '"documentation generation"'
Large language models (LLMs) bear great potential for automating tedious development tasks such as creating and maintaining code documentation. However, it is unclear to what extent developers can effectively prompt LLMs to create concise and useful
Externí odkaz:
http://arxiv.org/abs/2408.00686
Autor:
Luo, Qinyu, Ye, Yining, Liang, Shihao, Zhang, Zhong, Qin, Yujia, Lu, Yaxi, Wu, Yesai, Cong, Xin, Lin, Yankai, Zhang, Yingli, Che, Xiaoyin, Liu, Zhiyuan, Sun, Maosong
Generative models have demonstrated considerable potential in software engineering, particularly in tasks such as code generation and debugging. However, their utilization in the domain of code documentation generation remains underexplored. To this
Externí odkaz:
http://arxiv.org/abs/2402.16667
Autor:
Dvivedi, Shubhang Shekhar, Vijay, Vyshnav, Pujari, Sai Leela Rahul, Lodh, Shoumik, Kumar, Dhruv
This paper presents a comprehensive comparative analysis of Large Language Models (LLMs) for generation of code documentation. Code documentation is an essential part of the software writing process. The paper evaluates models such as GPT-3.5, GPT-4,
Externí odkaz:
http://arxiv.org/abs/2312.10349
Autor:
Khan, Junaed Younus, Uddin, Gias
Source code documentation is an important artifact for efficient software development. Code documentation could greatly benefit from automation since manual documentation is often labouring, resource and time-intensive. In this paper, we employed Cod
Externí odkaz:
http://arxiv.org/abs/2209.02235
Jupyter notebook allows data scientists to write machine learning code together with its documentation in cells. In this paper, we propose a new task of code documentation generation (CDG) for computational notebooks. In contrast to the previous CDG
Externí odkaz:
http://arxiv.org/abs/2104.01002
Autor:
Crichton, Will
Automatic documentation generation tools, or auto docs, are widely used to visualize information about APIs. However, each auto doc tool comes with its own unique representation of API information. In this paper, I use an information visualization an
Externí odkaz:
http://arxiv.org/abs/2011.05600
Autor:
Valmianski, Ilya, Frost, Nave, Sood, Navdeep, Wang, Yang, Liu, Baodong, Zhu, James J., Karumuri, Sunil, Finn, Ian M., Zisook, Daniel S.
Symptom checkers have emerged as an important tool for collecting symptoms and diagnosing patients, minimizing the involvement of clinical personnel. We developed a machine-learning-backed system, SmartTriage, which goes beyond conventional symptom c
Externí odkaz:
http://arxiv.org/abs/2010.09905
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