66 citations · 89 across the 5 of their papers we have counts for
5 papers
Code Refactoring with LLM: A Comprehensive Evaluation With Few-Shot Settings
Md. Raihan Tapader, Md. Mostafizer Rahman, Ariful Islam Shiplu +2
In today's world, the focus of programmers has shifted from writing complex, error-prone code to prioritizing simple, clear, efficient, and sustainable code that makes programs eas…
Refactoring Programs Using Large Language Models with Few-Shot Examples
Atsushi Shirafuji, Yusuke Oda, Jun Suzuki +2
A less complex and more straightforward program is a crucial factor that enhances its maintainability and makes writing secure and bug-free programs easier. However, due to its hea…
Rule-Based Error Classification for Analyzing Differences in Frequent Errors
Atsushi Shirafuji, Taku Matsumoto, Md Faizul Ibne Amin +1
Finding and fixing errors is a time-consuming task not only for novice programmers but also for expert programmers. Prior work has identified frequent error patterns among various…
Program Repair with Minimal Edits Using CodeT5
Atsushi Shirafuji, Md. Mostafizer Rahman, Md Faizul Ibne Amin +1
Programmers often struggle to identify and fix bugs in their programs. In recent years, many language models (LMs) have been proposed to fix erroneous programs and support error re…
Exploring the Robustness of Large Language Models for Solving Programming Problems
Atsushi Shirafuji, Yutaka Watanobe, Takumi Ito +4
Using large language models (LLMs) for source code has recently gained attention. LLMs, such as Transformer-based models like Codex and ChatGPT, have been shown to be highly capabl…