Android source code vulnerability detection: a systematic literature review

J Senanayake, H Kalutarage, MO Al-Kadri… - ACM Computing …, 2023 - dl.acm.org
The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …

Research on third-party libraries in android apps: A taxonomy and systematic literature review

X Zhan, T Liu, L Fan, L Li, S Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Third-party libraries (TPLs) have been widely used in mobile apps, which play an essential
part in the entire Android ecosystem. However, TPL is a double-edged sword. On the one …

Fill in the blank: Context-aware automated text input generation for mobile gui testing

Z Liu, C Chen, J Wang, X Che, Y Huang… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Automated GUI testing is widely used to help ensure the quality of mobile apps. However,
many GUIs require appropriate text inputs to proceed to the next page, which remains a …

Deep reinforcement learning for black-box testing of android apps

A Romdhana, A Merlo, M Ceccato… - ACM Transactions on …, 2022 - dl.acm.org
The state space of Android apps is huge, and its thorough exploration during testing remains
a significant challenge. The best exploration strategy is highly dependent on the features of …

Chatting with gpt-3 for zero-shot human-like mobile automated gui testing

Z Liu, C Chen, J Wang, M Chen, B Wu, X Che… - arXiv preprint arXiv …, 2023 - arxiv.org
Mobile apps are indispensable for people's daily life, and automated GUI (Graphical User
Interface) testing is widely used for app quality assurance. There is a growing interest in …

Benchmarking automated GUI testing for Android against real-world bugs

T Su, J Wang, Z Su - Proceedings of the 29th ACM Joint Meeting on …, 2021 - dl.acm.org
For ensuring the reliability of Android apps, there has been tremendous, continuous
progress on improving automated GUI testing in the past decade. Specifically, dozens of …

On the impact of sample duplication in machine-learning-based android malware detection

Y Zhao, L Li, H Wang, H Cai, TF Bissyandé… - ACM Transactions on …, 2021 - dl.acm.org
Malware detection at scale in the Android realm is often carried out using machine learning
techniques. State-of-the-art approaches such as DREBIN and MaMaDroid are reported to …

Assessing and restoring reproducibility of Jupyter notebooks

J Wang, T Kuo, L Li, A Zeller - Proceedings of the 35th IEEE/ACM …, 2020 - dl.acm.org
Jupyter notebooks---documents that contain live code, equations, visualizations, and
narrative text---now are among the most popular means to compute, present, discuss and …

Make llm a testing expert: Bringing human-like interaction to mobile gui testing via functionality-aware decisions

Z Liu, C Chen, J Wang, M Chen, B Wu, X Che… - Proceedings of the …, 2024 - dl.acm.org
Automated Graphical User Interface (GUI) testing plays a crucial role in ensuring app quality,
especially as mobile applications have become an integral part of our daily lives. Despite …

Automated third-party library detection for android applications: Are we there yet?

X Zhan, L Fan, T Liu, S Chen, L Li, H Wang… - Proceedings of the 35th …, 2020 - dl.acm.org
Third-party libraries (TPLs) have become a significant part of the Android ecosystem.
Developers can employ various TPLs with different functionalities to facilitate their app …