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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.

Software testing is a process that goes through several different phases to ensure that the software meets all requirements and is ready for release.

As the software industry grows exponentially, the need for efficiency will also grow at a similar pace. Organizations have adopted rapid software development models that quickly deliver working software at scale. For these rapid iterative models to succeed, it is crucial to have an effective and efficient safety net, i.e., testing. Therefore, software testing efficiency and effectiveness are also essential to delivering quality at scale.