1 citations · 1 across the 7 of their papers we have counts for
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NFR-to-Code Traceability in a Blockchain-IoT System: An Empirical Study
Yifei Wang, Jacky Keung, Xiaoxue Ma +2
Requirement-to-Code traceability has been widely studied, yet existing research and public benchmarks remain largely centered on functional requirements (FRs). In contrast, traceab…
Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering
Kehui Chen, Yicheng Sun, Jacky Keung +2
Large Language Models (LLMs) are increasingly used in AI-based software engineering, but their limitations in complex task execution and multi-tool coordination have driven growing…
R2Code: A Self-Reflective LLM Framework for Requirements-to-Code Traceability
Yifei Wang, Jacky Keung, Xiaoxue Ma +3
Accurate requirement-to-code traceability is crucial for software maintenance. However, existing IR- and embedding-based methods are heavily dependent on lexical similarity, often…
FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection
Yihan Liao, Jacky Keung, Zhenyu Mao +2
Log-based anomaly detection (LAD) is critical for ensuring the reliability of large-scale distributed systems. However, most existing LAD approaches assume centralized training, wh…
Chart2Code-MoLA: Efficient Multi-Modal Code Generation via Adaptive Expert Routing
Yifei Wang, Jacky Keung, Zhenyu Mao +2
Chart-to-code generation is a critical task in automated data visualization, translating complex chart structures into executable programs. While recent Multi-modal Large Language…
Towards Requirements Engineering for GenAI-Enabled Software: Bridging Responsibility Gaps through Human Oversight Requirements
Zhenyu Mao, Jacky Keung, Yicheng Sun +3
Context: Responsibility gaps, long-recognized challenges in socio-technical systems where accountability becomes diffuse or ambiguous, have become increasingly pronounced in GenAI-…
Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach
Zhenyu Mao, Jacky Keung, Fengji Zhang +3
The increasing demand for software development has driven interest in automating software engineering (SE) tasks using Large Language Models (LLMs). Recent efforts extend LLMs into…