Cover Image

System Test Generation for Virtual Reality Applications using Scenario Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Longfils, Gerry, Cauz, Maxime, Blouin, Arnaud, Devroey, Xavier
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Comprehensive Legislative Requirements for Cyber Physical Systems Testing in the European Union
by: Nguyen, Guillaume, et al.
Published: (2024)

Real-World Fault Detection for C-Extended Python Projects with Automated Unit Test Generation
by: Berg, Lucas, et al.
Published: (2026)

You Can REST Now: Automated REST API Documentation and Testing via LLM-Assisted Request Mutations
by: Decrop, Alix, et al.
Published: (2024)

Systematic Detection of Energy Regression and Corresponding Code Patterns in Java Projects
by: Bechet, François, et al.
Published: (2026)

Automated Testing of Prevalent 3D User Interactions in Virtual Reality Applications
by: Gu, Ruizhen, et al.
Published: (2026)

Scenario-based System Testing for Distributed Robotics Applications
by: Peleska, Jan, et al.
Published: (2026)

Towards debiasing code review support
by: Jetzen, Tobias, et al.
Published: (2024)

Can AI Generate more Comprehensive Test Scenarios? Review on Automated Driving Systems Test Scenario Generation Methods
by: Zhou, Ji, et al.
Published: (2025)

A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems
by: Zhao, Yongqi, et al.
Published: (2025)

Harnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study
by: Qi, Zhenyu, et al.
Published: (2025)

On-Demand Scenario Generation for Testing Automated Driving Systems
by: Yan, Songyang, et al.
Published: (2025)

Generalizing Test Cases for Comprehensive Test Scenario Coverage
by: Qi, Binhang, et al.
Published: (2026)

Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
by: Wu, Jiahui, et al.
Published: (2024)

A Tool for Test Case Scenarios Generation Using Large Language Models
by: Sami, Abdul Malik, et al.
Published: (2024)

ISS-Scenario: Scenario-based Testing in CARLA
by: Li, Renjue, et al.
Published: (2024)

Txt2Sce: Scenario Generation for Autonomous Driving System Testing Based on Textual Reports
by: Ji, Pin, et al.
Published: (2025)

Generating Test Scenarios from NL Requirements using Retrieval-Augmented LLMs: An Industrial Study
by: Arora, Chetan, et al.
Published: (2024)

Software Testing for Extended Reality Applications: A Systematic Mapping Study
by: Gu, Ruizhen, et al.
Published: (2025)

ViMoTest: A Tool to Specify ViewModel-Based GUI Test Scenarios using Projectional Editing
by: Fuksa, Mario, et al.
Published: (2025)

Generating Critical Scenarios for Testing Automated Driving Systems
by: Nguyen, Trung-Hieu, et al.
Published: (2024)

An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives
by: Guo, Hanyang, et al.
Published: (2024)

Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
by: Pham, Tri Minh Triet, et al.
Published: (2024)

LMM-enhanced Safety-Critical Scenario Generation for Autonomous Driving System Testing From Non-Accident Traffic Videos
by: Tian, Haoxiang, et al.
Published: (2024)

WebMAC: A Multi-Agent Collaborative Framework for Scenario Testing of Web Systems
by: Wan, Zhenyu, et al.
Published: (2026)

RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing
by: Yang, Fan, et al.
Published: (2024)

Scenario-Based Field Testing of Drone Missions
by: Vierhauser, Michael, et al.
Published: (2024)

Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing
by: Tu, Zhi, et al.
Published: (2025)

Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems
by: Vater, Lennart, et al.
Published: (2024)

Towards Automated Driving Violation Cause Analysis in Scenario-Based Testing for Autonomous Driving Systems
by: Wan, Ziwen, et al.
Published: (2024)

Modeling Language for Scenario Development of Autonomous Driving Systems
by: Aoki, Toshiaki, et al.
Published: (2025)

Practical, Automated Scenario-based Mobile App Testing
by: Yu, Shengcheng, et al.
Published: (2024)

MBTModelGenerator: Automated Reverse Engineering of Test Models from Clickstream Data for Model-Based Testing of Web Applications
by: Garousi, Vahid, et al.
Published: (2025)

From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing
by: Liang, Linfeng, et al.
Published: (2026)

Behaviour Driven Development Scenario Generation with Large Language Models
by: Rathnayake, Amila, et al.
Published: (2026)

Scenario-Guided LLM-based Mobile App GUI Testing
by: Yu, Shengcheng, et al.
Published: (2025)

Policy Testing with MDPFuzz (Replicability Study)
by: Mazouni, Quentin, et al.
Published: (2025)

Testing for Fault Diversity in Reinforcement Learning
by: Mazouni, Quentin, et al.
Published: (2024)

Risk Scenario Generation for Autonomous Driving Systems based on Causal Bayesian Networks
by: Zhao, Jiangnan, et al.
Published: (2024)

Constraint-Guided Test Execution Scheduling: An Experience Report at ABB Robotics
by: Gotlieb, Arnaud, et al.
Published: (2023)

NavAI: A Generalizable LLM Framework for Navigation Tasks in Virtual Reality Environments
by: Qin, Xue, et al.
Published: (2026)