16 citations · 19 across the 5 of their papers we have counts for
6 papers · 1 filter
Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards
Zejun Zhang, Yixin Gan, Zhenchang Xing +5
Coding standards are essential for maintaining consistent and high-quality code across teams and projects. Linters help developers enforce these standards by detecting code violati…
A Benchmark for Localizing Code and Non-Code Issues in Software Projects
Zejun Zhang, Jian Wang, Qingyun Yang +7
Accurate project localization (e.g., files and functions) for issue resolution is a critical first step in software maintenance. However, existing benchmarks for issue localization…
Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
Tianyi Zhang, Shidong Pan, Zejun Zhang +2
Infrastructure-as-Code (IaC) generation holds significant promise for automating cloud infrastructure provisioning. Recent advances in Large Language Models (LLMs) present a promis…
Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models
Zejun Zhang, Zhenchang Xing, Xiaoxue Ren +2
Pythonic idioms are highly valued and widely used in the Python programming community. However, many Python users find it challenging to use Pythonic idioms. Adopting a rule-based…
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence
Zejun Zhang, Zhenchang Xing, Xin Xia +3
The usage of Python idioms is popular among Python developers in a formative study of 101 performance-related questions of Python idioms on Stack Overflow, we find that developers…
Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms
Zejun Zhang, Zhenchang Xing, Xin Xia +2
Compared to other programming languages (e.g., Java), Python has more idioms to make Python code concise and efficient. Although pythonic idioms are well accepted in the Python com…