148 citations · 231 across the 18 of their papers we have counts for
18 papers
EffiHolmes: Differential Profiling-Guided Repository Level Time Inefficiency Fix Localization
Haowen Yang, Yun Peng, Zishuo Ding
Large software systems often suffer from time inefficiencies that cause excessive execution time despite functional correctness. Localizing their fix locations is difficult because…
Multi-level Code Optimization via Mixture of Prompts
Yun Peng, Jun Wan, Jiakun Liu +3
Runtime efficiency is a critical factor that impacts both software quality and user satisfaction. There are many approaches proposed for code optimization to improve runtime effici…
MuMuTestUp: Mutation-based Multi-Agent Test Case Update
Dawei Tian, Jiakun Liu, Yun Peng +4
Modern software systems evolve rapidly under CI/CD practices, where tests are critical for quality. However, substantial code changes often render existing test cases obsolete, cau…
Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning
Zhanyue Qin, Jia Feng, Yibo Lyu +4
Code reasoning refers to the task of predicting the output of a program given its source code and specific inputs. It can measure the reasoning capability of large language models…
3D Software Synthesis Driven by Constraint-Expressive Intermediate Representation
Shuqing Li, Anson Y. Lam, Yun Peng +2
Graphical user interface (UI) software has undergone a fundamental transformation from traditional two-dimensional (2D) desktop/web/mobile interfaces to spatial three-dimensional (…
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps
Shuqing Li, Cuiyun Gao, Jianping Zhang +5
The quality of Virtual Reality (VR) apps is vital, particularly the rendering quality of the VR Graphical User Interface (GUI). Different from traditional 2D apps, VR apps create a…
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context
Yichen Li, Yun Peng, Yintong Huo +1
Large Language Models (LLMs) have achieved remarkable success in code completion, as evidenced by their essential roles in developing code assistant services such as Copilot. Being…
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem
Yun Peng, Ruida Hu, Ruoke Wang +3
Python is widely used in the open-source community, largely owing to the extensive support from diverse third-party libraries within the PyPI ecosystem. Nevertheless, the utilizati…
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes
Chaozheng Wang, Zongjie Li, Yun Peng +5
Software plays a crucial role in our daily lives, and therefore the quality and security of software systems have become increasingly important. However, vulnerabilities in softwar…
Generative Type Inference for Python
Yun Peng, Chaozheng Wang, Wenxuan Wang +2
Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub. However, its dynamic type system can lead to potenti…
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors
Yun Peng, Shuzheng Gao, Cuiyun Gao +2
Although the dynamic type system of Python facilitates the developers in writing Python programs, it also brings type errors at run-time. There exist rule-based approaches for auto…
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning
Yujia Chen, Xiaoxue Ren, Cuiyun Gao +3
Developers often need to decide which APIs to use for the functions being implemented. With the ever-growing number of APIs and libraries, it becomes increasingly difficult for dev…
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao +3
Pre-trained models have been shown effective in many code intelligence tasks. These models are pre-trained on large-scale unlabeled corpus and then fine-tuned in downstream tasks.…
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities
Yaoxian Li, Shiyi Qi, Cuiyun Gao +4
Transformer-based models have demonstrated state-of-the-art performance in many intelligent coding tasks such as code comment generation and code completion. Previous studies show…
Source Code Summarization with Structural Relative Position Guided Transformer
Zi Gong, Cuiyun Gao, Yasheng Wang +3
Source code summarization aims at generating concise and clear natural language descriptions for programming languages. Well-written code summaries are beneficial for programmers t…
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
Yun Peng, Shuqing Li, Wenwei Gu +4
Application Programming Interfaces (APIs), which encapsulate the implementation of specific functions as interfaces, greatly improve the efficiency of modern software development.…
Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python
Yun Peng, Cuiyun Gao, Zongjie Li +4
Type inference for dynamic programming languages such as Python is an important yet challenging task. Static type inference techniques can precisely infer variables with enough sta…
Extending Hybrid CSP with Probability and Stochasticity
Yu Peng, Shuling Wang, Naijun Zhan +1
Probabilistic and stochastic behavior are omnipresent in computer controlled systems, in particular, so-called safety-critical hybrid systems, because of fundamental properties of…