What are the main challenges in automated validation?

What are the main challenges in automated validation?

Some key challenges include handling complex data types, ensuring accuracy, and managing integration with existing systems.

How do you ensure accuracy in automated validation?

Accuracy can be ensured by implementing robust testing frameworks, continuous monitoring, and using machine learning algorithms to adapt.

What tools are commonly used for automated validation?

Common tools include Selenium for web applications, Postman for API testing, and JUnit for unit testing in Java.

Can automated validation replace manual testing?

While automated validation can significantly reduce manual testing efforts, it often complements rather than completely replaces it.

What skills are needed to work in automated validation?

Key skills include programming, understanding of testing frameworks, and knowledge of software development processes.