Functional tests verify whether each feature of your software does exactly what it should do. They validate whether the login button actually authenticates the user, whether the shopping cart calculates the total correctly, whether the form sends data where it needs to go. There are different types of functional tests, and each one has its

A system can work perfectly under normal conditions and fail completely when demand increases. This reality affects companies of all sizes and segments: an e-commerce that crashes during Black Friday, a banking app that becomes unavailable on payday, or a streaming platform that can’t handle the spike in access during a highly anticipated series launch.

You run the test suite, half passes, half fails. Then you run it again and… everything changes. Before long, nobody knows whether it’s a bug, environment instability, an external integration, or simply inconsistent test data. The team spends hours investigating and, worse, starts to lose trust in automation. Bad test data is, in practice, results

Test automation streamlines daily work, cuts costs, and speeds up releases. For large teams, it’s non-negotiable. When multiple teams are involved, turning automation into part of the routine can be more work than it first appears. A few precautions now prevent headaches later and build confidence across the entire process. 7 most common mistakes when

Have you ever wondered why some bugs only show up in production, even after hours of testing? Or why that code that was working perfectly suddenly breaks when you integrate it with other components? The answer might lie in how you’re testing your software. In modern development, testing isn’t just about going through a checklist