Blog & articles

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.

One thing that COVID evidently changed forever is the way we work; remote and virtual teams are the new normal. COVID certainly pushed the Medicine practitioners to an edge, but also HR teams and Managers. From onboarding to exit processes, everything went virtual. As the famous saying goes, “every risk comes with an opportunity.” COVID allowed us to realize it is possible to run the show virtually.

Testing is an important process in software development. It helps identify defects and errors in the system and improves the quality of the product. There are different types of testing, but one of the most important is test design.