license: apache-2.0
task_categories:
- image-classification
tags:
- GUI
size_categories:
- 10K<n<100K
🤖 GTArena-UI-Defects
This dataset is for 📄"GUI Testing Arena: A Unified Benchmark for Advancing Autonomous GUI Testing Agent".
📖 Overview
Welcome to GTArena-UI-Defects, a comprehensive dataset specifically designed for benchmarking autonomous GUI testing agents. This dataset offers a unique combination of real-world GUI defects, applications with injected defects, and synthetic defect datasets, providing a well-rounded and challenging testbed for researchers and practitioners in the field of automated GUI testing.
Key Features:
• 📊 Diverse Data Sources: Real-world applications, defect-injected apps, and synthetic datasets ensure comprehensive coverage.
• 👾 Controlled Defects: Injected and synthetic defects provide consistency and reproducibility for experimentation.
• 🌐 Real-World Challenges: Naturally occurring defects from real applications ensure authenticity.
🗂️ Dataset Structure
1️⃣ Real-world Applications with GUI Defects
• Mining releases & Issue Trackers on Github: Projects are filtered based on releases and issues to identify real occurring defects.
• Comprehensive Profiling: Includes defect types, issue severity, and version history.
• Validation Process: Reported issues are carefully reproduced to ensure relevance and authenticity.
2️⃣ Applications with Injected Defects
• Defects introduced via source code modification.
• Controlled Environment: Predefined GUI defects ensure consistent testing scenarios.
• Diverse Fault Scenarios: Injection across different areas to simulate real-world complexities.
3️⃣ Synthetic Defect Datasets
• Simulated GUI defects created by transforming screenshots of stable applications. Our GUI defect simulation tool is available on here
• Designed to overcome the lack of early-stage defects in proprietary commercial apps.
• Wide Applicability: Generates defect data even for mature, stable applications.
📊 Data Distribution
| Data of Applications | GUI Display | GUI Interaction |
|---|---|---|
| Real-World | 53 | |
| Artificial Inject | 79 | 26 |
| AitW with Defects | 6610 | 1871 |
| Close-Source | 1148 | 399 |
| Open-Source | 590 | 257 |
🔍 Data Usage
To load and explore the dataset:
from datasets import load_dataset
real_world_data = load_dataset("songjah/GTArena-UI-Defects", split="real_world")
injected_data = load_dataset("songjah/GTArena-UI-Defects", split="injected")
synthetic_data = load_dataset("songjah/GTArena-UI-Defects", split="synthetic")
🌟 Citation
If you use this work in your research or applications, please cite it as follows:
@misc{zhao2024guitestingarenaunified,
title={GUI Testing Arena: A Unified Benchmark for Advancing Autonomous GUI Testing Agent},
author={Kangjia Zhao and Jiahui Song and Leigang Sha and Haozhan Shen and Zhi Chen and Tiancheng Zhao and Xiubo Liang and Jianwei Yin},
year={2024},
eprint={2412.18426},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2412.18426},
}