3 citations · 4 across the 9 of their papers we have counts for
10 papers
Code Review Agent Benchmark
Yuntong Zhang, Zhiyuan Pan, Imam Nur Bani Yusuf +3
Software engineering agents have shown significant promise in writing code. As AI agents permeate code writing, and generate huge volumes of code automatically -- the matter of cod…
VeriGrey: Greybox Agent Validation
Yuntong Zhang, Sungmin Kang, Ruijie Meng +2
Agentic AI has been a topic of great interest recently. A Large Language Model (LLM) agent involves one or more LLMs in the back-end. In the front end, it conducts autonomous decis…
From Benchmark Data To Applicable Program Repair: An Experience Report
Mahinthan Chandramohan, Jovan Jancic, Yuntong Zhang +1
This paper describes our approach to automated program repair. We combine various techniques from the literature to achieve this. Our experiments show that our approach performs be…
Unified Software Engineering Agent as AI Software Engineer
Leonhard Applis, Yuntong Zhang, Shanchao Liang +3
The growth of Large Language Model (LLM) technology has raised expectations for automated coding. However, software engineering is more than coding and is concerned with activities…
Fixing Security Vulnerabilities with AI in OSS-Fuzz
Yuntong Zhang, Jiawei Wang, Dominic Berzin +5
Critical open source software systems undergo significant validation in the form of lengthy fuzz campaigns. The fuzz campaigns typically conduct a biased random search over the dom…
Whose fault is it anyway? SILC: Safe Integration of LLM-Generated Code
Peisen Lin, Yuntong Zhang, Andreea Costea +1
In modern software development, multiple software components, often sourced from different contributors, including AI assistants, are combined to create a cohesive system. Although…
SpecRover: Code Intent Extraction via LLMs
Haifeng Ruan, Yuntong Zhang, Abhik Roychoudhury
Autonomous program improvement typically involves automatically producing bug fixes and feature additions. Such program improvement can be accomplished by a combination of large la…
AutoCodeRover: Autonomous Program Improvement
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan +1
Researchers have made significant progress in automating the software development process in the past decades. Recent progress in Large Language Models (LLMs) has significantly imp…
Program Repair by Fuzzing over Patch and Input Space
Yuntong Zhang, Ridwan Shariffdeen, Gregory J. Duck +2
Fuzz testing (fuzzing) is a well-known method for exposing bugs/vulnerabilities in software systems. Popular fuzzers, such as AFL, use a biased random search over the domain of pro…
Patch Space Exploration using Static Analysis Feedback
Yuntong Zhang, Andreea Costea, Ridwan Shariffdeen +2
Automated Program Repair (APR) techniques typically rely on a given test-suite to guide the repair process. Apart from the need to provide test oracles, this makes the produced pat…