# Humanoid: A Deep Learning-Based Approach to Automated Black-box Android App Testing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/humanoid-a-deep-learning-based-approach-to-automated-black-box-android-app/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yuanchun Li,Ziyue Yang,Yao Guo,Xiangqun Chen |
| Citations | 160 |
| DOI | 10.1109/ase.2019.00104 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2999907851 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Yao Guo](https://scholariq.org/researchers/yao-guo/)

## Paper primary topic

- [Software Testing and Debugging Techniques](https://scholariq.org/topics/software-testing-and-debugging-techniques/)

## Paper topics

- [Software Testing and Debugging Techniques](https://scholariq.org/topics/software-testing-and-debugging-techniques/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.