The best way to do this is to focus on risk-based testing, prioritizing the areas that most affect the user experience. Mixing automated tests with exploratory manual testing helps you cover the most important areas while still being efficient.
Even if you have good internet, your app can still lag due to issues in the back-end, server load, or bad code. Use tools to track where the lag is coming from, whether it’s a network call, a database query, or how your UI is rendering, and then fix those issues.
Failure injection is a smart move! It lets you simulate real-world scenarios that might not be caught by regular testing. Just be careful not to mess things up or end up with false positives.
Yes, AI and automation can help you stay compliant across different regions without getting too complicated. Tools like LambdaTest offer environments specific to each region, while AI can automatically adjust tests for different locales and network conditions.
While getting 100% coverage is pretty much impossible, you can aim for the best coverage by focusing on the most critical features and using a mix of automated and manual testing. Concentrate on the main paths and use AI to help you cover more ground efficiently.
Traditional testing is still useful, but when it comes to checking app performance, it’s often not enough. You need special tools like JMeter or LoadRunner to simulate real-world loads and spot any performance issues.
Typically, edge cases, third-party integrations, and certain user flows are often missed. You can improve coverage by regularly reviewing test results and using analytics to identify gaps in test cases that aren’t hitting key features.