most citedARCLIN: Automated API Mention Resolution for Unformatted Texts

6 citations · 10 across the 2 of their papers we have counts for

collaborators

7 papers

cs.SE202425 cited

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs

Shiwen Shan, Yintong Huo, Yuxin Su +3

Configurable software systems are prone to configuration errors, resulting in significant losses to companies. However, diagnosing these errors is challenging due to the vast and c…

cs.SE20241 cited

Go Static: Contextualized Logging Statement Generation

Yichen Li, Yintong Huo, Renyi Zhong +6

Logging practices have been extensively investigated to assist developers in writing appropriate logging statements for documenting software behaviors. Although numerous automatic…

cs.SE2024

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…

cs.SE2023

A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems

Yintong Huo, Cheryl Lee, Jinyang Liu +2

The increasing complexity and usage of cloud systems have made it challenging for service providers to ensure reliability. This paper highlights two main challenges, namely interna…

cs.SE2023

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection

Yintong Huo, Yichen Li, Yuxin Su +3

The rapid progress of modern computing systems has led to a growing interest in informative run-time logs. Various log-based anomaly detection techniques have been proposed to ensu…

cs.SE20234 cited

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…