9 citations · 16 across the 12 of their papers we have counts for
6 papers · 1 filter
Towards Better Answers: Automated Stack Overflow Post Updating
Yubo Mai, Zhipeng Gao, Haoye Wang +4
Utilizing code snippets on Stack Overflow (SO) is a common practice among developers for problem-solving. Although SO code snippets serve as valuable resources, it is important to…
SelfPiCo: Self-Guided Partial Code Execution with LLMs
Zhipeng Xue, Zhipeng Gao, Shaohua Wang +3
Code executability plays a vital role in software debugging and testing (e.g., detecting runtime exceptions or assertion violations). However, code execution, especially partial or…
MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning
Zhenlong Dai, Chang Yao, WenKang Han +3
Large Language Models (LLMs) have demonstrated great potential for assisting developers in their daily development. However, most research focuses on generating correct code, how t…
Automating TODO-missed Methods Detection and Patching
Zhipeng Gao, Yanqi Su, Xing Hu +1
TODO comments are widely used by developers to remind themselves or others about incomplete tasks. In other words, TODO comments are usually associated with temporary or suboptimal…
Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning
Yubo Mai, Zhipeng Gao, Xing Hu +3
Inspired by the great potential of Large Language Models (LLMs) for solving complex coding tasks, in this paper, we propose a novel approach, named Code2API, to automatically perfo…
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction
Zhipeng Gao, Zhipeng Xue, Xing Hu +2
The test failure causes analysis is critical since it determines the subsequent way of handling different types of bugs, which is the prerequisite to get the bugs properly analyzed…