Testlio blog

AI doesn’t just fail with bugs. It fails in silence, in bias, and in behavior. That’s why traditional QA won’t cut it anymore.

As software systems get increasingly complex every day, the challenges of effective testing also escalate. Software testing involves handling large datasets, complex workflows, and shorter release cycles. 

Finding a bug is one thing, but documenting it is just as important, if not more so.

Mobile application testing ensures the functional and non-functional quality of mobile application workflows. As more users rely on smartphones for daily tasks, expectations for performance and reliability continue to rise.

Android test automation is the process of using software tools and scripts to execute tests on Android applications automatically. 

Smarter AI starts long before the model is trained. It begins with the quality of the data you feed it. Data that reflects real-world nuance, cultural context, and human behavior is what sets strong systems apart.

In this article, we compare QA testing and software testing, showing you the distinctions and similarities between these two closely related areas.

Why do software bugs still make it to production even after testing? Often, it’s not about how much testing you do—but what kind. It might come down to using the right type of tests at the right time. 

Today’s online businesses are wrestling with 20+ forms of payment, from traditional e-transfer to cryptocurrency to afterpay programs. Globalization adds different currencies, languages, and privacy concerns not present in real-world transactions.