activity
20232026
most citedPractices and Challenges of Using GitHub Copilot: An Empirical Study

67 citations · 69 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

Bridging Requirements and Architecture: Multi-Agent Orchestration with External Knowledge and Hierarchical Memory

Ruiyin Li, Yiran Zhang, Xiyu Zhou +6

Software architecture design is a critical yet inherently complex and knowledge-intensive phase that requires balancing competing quality attributes and adapting to evolving requir…

cs.SE2025

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration

Ruiyin Li, Yiran Zhang, Xiyu Zhou +5

Software architecture design is a critical, yet inherently complex and knowledge-intensive phase of software development. It requires deep domain expertise, development experience,…

cs.SE2025

Using LLMs in Generating Design Rationale for Software Architecture Decisions

Xiyu Zhou, Ruiyin Li, Peng Liang +4

Design Rationale (DR) for software architecture decisions refers to the reasoning underlying architectural choices, which provides valuable insights into the different phases of th…

cs.SE2024★ 1 cited

A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection

Beiqi Zhang, Peng Liang, Xin Zhou +5

Automated code smell detection faces persistent challenges due to the subjectivity of heuristic rules and the limited performance of traditional ML/DL models. While Large Language…

cs.SE2023

Exploring the Problems, their Causes and Solutions of AI Pair Programming: A Study on GitHub and Stack Overflow

Xiyu Zhou, Peng Liang, Beiqi Zhang +4

With the recent advancement of Artificial Intelligence (AI) and Large Language Models (LLMs), AI-based code generation tools become a practical solution for software development. G…

cs.SE2023★ 1 cited

Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot

Beiqi Zhang, Peng Liang, Xiyu Zhou +2

With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot has been trained on billions of lines of open…

cs.SE2023★ 67 cited

Practices and Challenges of Using GitHub Copilot: An Empirical Study

Beiqi Zhang, Peng Liang, Xiyu Zhou +2

With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot, also referred to as the "AI Pair Programmer",…