Deep Reinforcement Learning for Black-Box Testing of Android Apps.

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Deep Reinforcement Learning for Black-box Testing of Android Apps

This article presents the first Deep RL approach, ARES, for automated black-box testing of Android apps. ARES uses a DNN to learn the best exploration strategy ...

Deep Reinforcement Learning for Black-Box Testing of Android Apps

arxiv.org › cs

Jan 7, 2021 · We have developed ARES, a Deep RL approach for black-box testing of Android apps. Experimental results show that it achieves higher coverage and ...

Deep Reinforcement Learning for Black-box Testing of Android Apps

dl.acm.org › doi › full

Jul 12, 2022 · We have developed ARES, a Deep RL approach for black-box testing of Android apps. Experimental results show that it achieves higher coverage and fault ...

(PDF) Deep Reinforcement Learning for Black-Box Testing of Android Apps

www.researchgate.net › ... › Android

We have developed ARES, a Deep RL approach for black-box testing of Android apps. Experimental results show that it achieves higher coverage and fault ...

ARES: A Deep Reinforcement Learning Tool for Black-Box Testing ...

ieeexplore.ieee.org › document

Several approaches exist to automate mobile apps' testing phases whose aim is to maximize code coverage and bug detection.

H2SO4T/ARES: Black-box tool that uses Deep Reinforcement ... - GitHub

github.com › ARES

ARES is a black-box tool that uses Deep Reinforcement Learning to test and explore Android applications.

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Deep Reinforcement Learning for Black-Box Testing of Android Apps

www.researchgate.net › ... › Android

Jan 8, 2021 · We have developed ARES, a Deep RL approach for black-box testing of Android apps. Experimental results show that it achieves higher coverage and ...

A Deep Reinforcement Learning Tool for Black-Box Testing of Android Apps

ieeexplore.ieee.org › iel7

In this talk, we will present. ARES1 [1], a Deep RL approach for black-box testing of. Android apps we developed to overcome the limitations of tabular RL.

A Deep Reinforcement Learning Tool for Black-Box Testing of Android Apps

www.computer.org › percom-workshops

Model-based strategies combine static and dynamic analysis to create navigation models and generate test cases. Structural strategies use symbolic execution or ...

Test Case Generation Approach for Android Applications using ...

www.etasr.com › ETASR › article › view

Aug 2, 2024 · This study proposes an approach for generating Android application test cases based on Expected State-Action-Reward-State-Action (E-SARSA), considering GUI and ...