Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Li, Zengyang"'
With the advancements of Large Language Models (LLMs), an increasing number of open-source software projects are using LLMs as their core functional component. Although research and practice on LLMs are capturing considerable interest, no dedicated s
Externí odkaz:
http://arxiv.org/abs/2409.16559
Context: An increasing number of software systems are written in multiple programming languages (PLs), which are called multi-programming-language (MPL) systems. MPL bugs (MPLBs) refers to the bugs whose resolution involves multiple PLs. Despite high
Externí odkaz:
http://arxiv.org/abs/2407.10906
In issue tracking systems, each bug is assigned a priority level (e.g., Blocker, Critical, Major, Minor, or Trivial in JIRA from highest to lowest), which indicates the urgency level of the bug. In this sense, understanding bug priority changes helps
Externí odkaz:
http://arxiv.org/abs/2403.05059
As one of the most popular dynamic languages, Python experiences a decrease in readability and maintainability when code smells are present. Recent advancements in Large Language Models have sparked growing interest in AI-enabled tools for both code
Externí odkaz:
http://arxiv.org/abs/2401.14176
Autor:
Aktar, Mst Shamima, Liang, Peng, Waseem, Muhammad, Tahir, Amjed, Ahmad, Aakash, Zhang, Beiqi, Li, Zengyang
Quantum computing provides a new dimension in computation, utilizing the principles of quantum mechanics to potentially solve complex problems that are currently intractable for classical computers. However, little research has been conducted about t
Externí odkaz:
http://arxiv.org/abs/2312.05421
Context: Modern software systems (e.g., Apache Spark) are usually written in multiple programming languages (PLs). There is little understanding on the phenomenon of multi-programming-language commits (MPLCs), which involve modified source files writ
Externí odkaz:
http://arxiv.org/abs/2311.08424
Autor:
Zhou, Xiyu, Liang, Peng, Zhang, Beiqi, Li, Zengyang, Ahmad, Aakash, Shahin, Mojtaba, Waseem, Muhammad
With the recent advancement of Artificial Intelligence (AI) and Large Language Models (LLMs), AI-based code generation tools become a practical solution for software development. GitHub Copilot, the AI pair programmer, utilizes machine learning model
Externí odkaz:
http://arxiv.org/abs/2311.01020
Modern code generation tools, utilizing AI models like Large Language Models (LLMs), have gained popularity for producing functional code. However, their usage presents security challenges, often resulting in insecure code merging into the code base.
Externí odkaz:
http://arxiv.org/abs/2310.02059
Background: In modern software systems, more and more systems are written in multiple programming languages (PLs). There is no comprehensive investigation on the phenomenon of multi-programming-language (MPL) bugs, which resolution involves source fi
Externí odkaz:
http://arxiv.org/abs/2307.01970
Deep learning frameworks (DLFs) have been playing an increasingly important role in this intelligence age since they act as a basic infrastructure for an increasingly wide range of AIbased applications. Meanwhile, as multi-programming-language (MPL)
Externí odkaz:
http://arxiv.org/abs/2303.02695