English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Efficient software testing is essential for productive software developmentand reliable user experiences. As human testing is inefficient and expensive,automated software testing is needed. In this work, we propose a ReinforcementLearning (RL) framework for functional software testing named DRIFT. DRIFToperates on the symbolic representation of the user interface. It usesQ-learning through Batch-RL and models the state-action value function with aGraph Neural Network. We apply DRIFT to testing the Windows 10 operating systemand show that DRIFT can robustly trigger the desired software functionality ina fully automated manner. Our experiments test the ability to perform singleand combined tasks across different applications, demonstrating that ourframework can efficiently test software with a large range of testingobjectives.

DRIFT: Deep Reinforcement Learning for Functional Software Testing