Addressing concerns about the complexity of creating and maintaining models in model-based testing involves emphasizing the significant benefits it brings in terms of reducing test effort. Providing training sessions to enhance the team's skills and confidence in model creation and maintenance can contribute to successful adoption and efficient use of model-based testing in the software development project.

Emerging technologies like blockchain and IoT shape the future of functional testing by introducing unique testing challenges. Emphasis on interoperability testing is crucial as these technologies often involve integration with various devices and systems. Testing of decentralized applications becomes essential, and traditional testing methodologies may need to evolve to address the complexities introduced by these technologies. Integrating emerging technologies into testing practices ensures that functional testing remains relevant in a rapidly advancing technological landscape.

The scope of Exploratory Testing is dynamic and adaptable. Testers explore the application, adapt their approach based on findings, and adjust the testing scope as needed. It is not predefined or comprehensive, allowing testers to respond to emerging issues and explore areas that may not be covered in formal test plans.

Integrating TestComplete with CI/CD pipelines ensures a faster feedback loop by automatically triggering tests upon code changes. This leads to improved test coverage, automated regression testing, and enhanced collaboration between development and testing teams, fostering a more efficient software delivery process.

Performance Testing in functional testing involves assessing the system's scalability, responsiveness, and overall performance. By simulating real-world usage scenarios, this technique helps identify scalability issues, ensuring that the software can handle a variety of workloads without degradation.

Postman aids in managing API testing workflows by allowing the use of environment variables, enabling testers to parameterize requests and responses. This helps in testing various scenarios, maintaining flexibility, and managing testing environments efficiently.

Model-based testing improves maintainability and reusability by automating various aspects of the testing process. It minimizes manual efforts in test maintenance and execution, making it easier to adapt to changes and reuse existing test models across different stages of the software development life cycle.

Traceability in test case management ensures that test cases are linked to requirements, providing visibility into how well the requirements are covered by testing.

Test Prioritization is the process of determining the order in which features or functionalities should be tested based on their importance to the business and their impact on the system.

Selenium is primarily used for browser automation testing. It enables testers to automate the interactions with web browsers, allowing for the testing of web applications across different browsers and platforms. While it supports other testing types, its main strength lies in automating browser actions.