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20242026
most citedContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs

22 citations · 40 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.AI2024

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning

Jianming Chen, Yawen Wang, Junjie Wang +4

Explaining multi-agent systems (MAS) is urgent as these systems become increasingly prevalent in various applications. Previous work has proveided explanations for the actions or s…

cs.SE2024★ 1 cited

DriveTester: A Unified Platform for Simulation-Based Autonomous Driving Testing

Mingfei Cheng, Yuan Zhou, Xiaofei Xie

Simulation-based testing plays a critical role in evaluating the safety and reliability of autonomous driving systems (ADSs). However, one of the key challenges in ADS testing is t…

cs.SE2024

A Comprehensive Study on Static Application Security Testing (SAST) Tools for Android

Jingyun Zhu, Kaixuan Li, Sen Chen +3

To identify security vulnerabilities in Android applications, numerous static application security testing (SAST) tools have been proposed. However, it poses significant challenges…

cs.SE2024★ 15 cited

FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion

Qi Guo, Xiaohong Li, Xiaofei Xie +6

The rise of code pre-trained models has significantly enhanced various coding tasks, such as code completion, and tools like GitHub Copilot. However, the substantial size of these…

cs.SE2024★ 22 cited

ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs

Jiaolong Kong, Mingfei Cheng, Xiaofei Xie +3

Automated Program Repair (APR) aims to automatically generate patches for rectifying software bugs. Recent strides in Large Language Models (LLM), such as ChatGPT, have yielded enc…

cs.AI2024★ 2 cited

Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems

Mingfei Cheng, Yuan Zhou, Xiaofei Xie +3

Autonomous Driving System (ADS) testing is crucial in ADS development, with the current primary focus being on safety. However, the evaluation of non-safety-critical performance, p…