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20242026
most citedLLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

10 citations · 11 across the 9 of their papers we have counts for

collaborators

10 papers

cs.SE2026

Fail-Fast, Restart-Smart: Early Failure Prediction and Restart for SWE Agentic Tasks

Chenyu Wang, Yunbo Lyu, Junda He +4

Software engineering (SWE) agents resolve repository-level issues through long trajectories that grow increasingly expensive as context accumulates. Failed runs tend to be longer a…

cs.SE2026

How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study

Yunbo Lyu, David Williams, Jieke Shi +5

The rise of Software Engineering (SE) agents, i.e., LLM-based agents that can understand large codebases and carry out engineering tasks with limited human intervention, has been m…

cs.AI2026

ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders

Zhongyuan Peng, Dan Huang, Chuyu Zhang +8

The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely completing code under fully specified instructions, agents are in…

cs.SE2025

Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead

Alessio Bucaioni, Martin Weyssow, Junda He +2

Artificial intelligence is increasingly applied across software engineering, yet its explicit role in software architecture remains insufficiently understood. Architectural practic…

cs.SE2025

From Code to Courtroom: LLMs as the New Software Judges

Junda He, Jieke Shi, Terry Yue Zhuo +5

Recently, Large Language Models (LLMs) have been increasingly used to automate SE tasks such as code generation and summarization. However, evaluating the quality of LLM-generated…

cs.SE2025★ 1 cited

A Functional Software Reference Architecture for LLM-Integrated Systems

Alessio Bucaioni, Martin Weyssow, Junda He +2

The integration of large language models into software systems is transforming capabilities such as natural language understanding, decision-making, and autonomous task execution.…

cs.SE2024

Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs

Jieke Shi, Zhou Yang, Junda He +4

Given the increasing adoption of modern AI-enabled control systems, ensuring their safety and reliability has become a critical task in software testing. One prevalent approach to…

cs.SE2024

PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models

Junda He, Bowen Xu, Zhou Yang +5

Stack Overflow is one of the most influential Software Question & Answer (SQA) websites, hosting millions of programming-related questions and answers. Tags play a critical role in…

cs.SE2024★ 10 cited

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Junda He, Christoph Treude, David Lo

Integrating Large Language Models (LLMs) into autonomous agents marks a significant shift in the research landscape by offering cognitive abilities that are competitive with human…

cs.SE2024

APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation

Chengran Yang, Jiakun Liu, Bowen Xu +5

API documentation is often the most trusted resource for programming. Many approaches have been proposed to augment API documentation by summarizing complementary information from…