Blog & articles

Learn how to tackle challenges in API testing with practical solutions and strategies to ensure robust and reliable software performance.

Database testing, or DB testing, is a significant and complementary part of the testing process. It’s a multi-step, multi-angle approach to assessing the database and how it functions with the user interface and maintains data storage, integrity, retrieval, and updating.

Hopefully, you’ve enjoyed the previous articles on everything related to APIs: what they are, their life cycle, and where this kind of testing fits in the development process. This blog post will focus on the different types of API testing, along with detailed validations that need to be performed.

As QA Engineers, we create our test cases/test scripts based on customer-centric requirements; sometimes, we further simulate customer data to support specific scenarios (inductive reasoning). For example, consider the Christmas season, the number of holiday movies, seasonal shopping, and figurines.

As Artificial Intelligence (AI) increasingly becomes a part of our lives, businesses are starting to explore how they can use AI for their testing purposes. In fact, one such area that is seeing a lot of activity is AI software testing.