4 papers · 1 filter
ExploreAI: Agentic Exploration Knowledge Bases for Reproducible Observable-Regression Testing of Black-Box VR and 3D Applications
Jiajie Wang, Kebin Peng, Wei Wang +3
Black-box VR and 3D applications are difficult to regression test because observable failures depend on where a tester moves, what objects are visible, and which views are captured…
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths
Huashan Chen, Zhenyu Qi, Haotang Li +7
Large Language Models (LLMs) have become central to automated code generation, yet existing approaches operate within a single-LLM paradigm: one model is selected and applied throu…
Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study
Huashan Chen, Zisheng Huang, Yifan Xu +6
Code cloning is frequently observed in software development, often leading to a variety of maintenance and security issues. While substantial research has been conducted on code cl…
Harnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study
Zhenyu Qi, Haotang Li, Hao Qin +3
As the Virtual Reality (VR) industry expands, the need for automated GUI testing is growing rapidly. Large Language Models (LLMs), capable of retaining information long-term and an…