Quality assurance (QA) ensures that software performs as intended, typically using two main approaches: top-down (functional testing) and bottom-up (exploratory testing). Functional testing focuses on predefined scenarios, while exploratory testing—less common—simulates real-world usage patterns without set scripts. The latter faces challenges due to the difficulty in navigating all possible user paths. However, AI has begun transforming exploratory testing. […]
With over 2.5 billion mobile users as of 2019 and a growing app market, ensuring high-quality app performance is crucial. Apptest.ai was founded to deliver a proprietary AI-powered mobile app testing solution that streamlines comprehensive testing without the need for code. Our platform leverages cutting-edge computer vision and NLP techniques to identify bugs across 100+ devices simultaneously, […]
With over 1,000 new mobile apps launching every day, maintaining app quality is becoming a significant challenge for developers. Mobile app errors not only disrupt user experience but also lead to poor app ratings and potential uninstalls. The current mobile app error rate hovers around 15%, emphasizing the need for advanced and scalable testing solutions. Thanks […]
Integrating Apptest.ai with Azure DevOps Pipeline simplifies app testing by automating the process and providing detailed reports. A few simple configurations are all you need to get started. Using Apptest.ai in Azure DevOps Pipeline To use the Apptest.ai service within Azure DevOps Pipeline, follow these two steps: Step 1: Adding the Apptest.ai Access Key to […]
