Masking sensitive information in test data ensures compliance with privacy regulations. It involves replacing, encrypting, or scrambling sensitive data while maintaining its usability for testing purposes.

Functional testing ensures the correct functioning of application features, confirming its _______________. It also ensures compliance with project specifications and requirements.

Use Case Testing helps identify and address usability issues by assessing user interactions with the system. It focuses on validating how users interact with the software, ensuring that the application meets usability requirements. By simulating real-world scenarios, this testing approach allows for the identification of potential usability issues, leading to improvements in the user experience and overall satisfaction with the software application.

Non-functional testing concentrates on the performance, security, and reliability aspects of the system, rather than its specific functions. Performance testing is a key part of non-functional testing.

The Breakpoint feature in TestComplete is crucial for debugging and troubleshooting automated tests. It allows testers to pause the test execution at a specific point, inspect variables, and step through the code. Breakpoints are instrumental in identifying and resolving issues, ensuring the reliability of automated tests and helping testers understand the flow of test execution.

Cucumber supports BDD by promoting collaboration and providing a structured format for creating executable specifications. It encourages clear communication between developers and non-developers through its natural language syntax. The tool also facilitates the automation of test documentation, ensuring that the specifications remain up-to-date. Contrary to the statement, Cucumber does not restrict scenarios to technical language only; it encourages a readable format using natural language constructs.

The combination of Boundary Value Analysis and Equivalence Partitioning provides comprehensive coverage of possible inputs, addressing both boundary conditions and equivalence classes.

Incorporating AI and machine learning in functional testing can significantly enhance test coverage by intelligently generating test cases based on various scenarios, leading to more effective testing. This innovation also helps automate test execution and fosters collaboration between development and testing teams, streamlining the overall testing process.

Integrating functional testing into Agile and DevOps workflows enables early detection of defects. By testing continuously throughout the development cycle, defects are identified and addressed promptly, reducing the risk of defects reaching production. This early detection enhances overall product quality and shortens feedback loops, contributing to more efficient and reliable software development processes.

Katalon Studio's Test Suite feature enables testers to logically organize and execute test cases. Test Suites allow the grouping of related test cases, facilitating efficient test execution and management, particularly in scenarios with interconnected test scenarios and dependencies.