As AI increasingly dominates headlines, it’s important to highlight the differences in AI capabilities. One of the earliest uses of a five-level classification system for AI came from the self-driving car industry. This method of distinguishing capabilities also provides a road map for understanding how much more there is to achieve with AI. In 2014, […]
Exploratory Testing Fundamentals: Can AI Revive This Unpopular Approach?
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. […]
Top 5 Types of Mobile App Bugs Found Using AI
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 […]