Control flow, data flow, and path coverage are core types of static analysis techniques. Path coverage ensures that every potential route through a given part of the code is executed, thereby identifying areas that have not been tested.

SonarQube is a popular tool used for static code analysis. It scans source code for vulnerabilities, bugs, and code smells, providing a comprehensive overview of code quality. JIRA, Selenium, and Jenkins serve different purposes in the software development lifecycle.

For mobile apps, it's imperative to test both Landscape and Portrait modes when conducting functional testing. This ensures that the application's functionality remains consistent and error-free regardless of the orientation. Given that users might switch between modes frequently, it's crucial to verify the app's behavior in both scenarios.

Data-driven scripting allows the separation of test scripts from the test data. This means one script can be executed with multiple sets of test data. As a result, the number of scripts needed is reduced, making test automation more efficient and manageable. You can test various scenarios using the same script by merely changing the input data.

In UI/UX testing, the main focus is on user interface and user experience. It ensures that the software or application is user-friendly and provides a smooth experience. Factors like alignment, colors, button sizes, and responsiveness are critically evaluated.

Parameterized tests allow the execution of the same test logic with different input values. This is particularly beneficial in advanced unit testing scenarios where the tester wants to validate a function or method with multiple sets of data without writing repetitive test code for each set. It increases test coverage and reduces code redundancy.

Load Testing: This testing is designed to test the system under the expected load. The goal is to ensure that any reduction in system performance or degradation is identified and addressed before the system becomes live and starts impacting the end-users.

The test control phase focuses on monitoring and controlling the testing activities, such as observing test results, making decisions on priorities, and scheduling. The aesthetic choices, like the color of the testing software or tools, are not of concern in this phase as they don't impact the testing process's efficacy or results.

Monkey testing involves applying random inputs without specific test cases or scripts. While this can find unique and unexpected defects, a drawback is that it might not always mimic real-world user interactions and scenarios, potentially missing out on some critical user-centric bugs.

Blue-Green Deployments are a strategy to achieve zero-downtime deployments by maintaining two production environments, blue (current) and green (new). When deploying a new release, it's first deployed to the "green" environment. Once everything is confirmed to work perfectly, the traffic is switched to "green" from "blue", ensuring that at no point there's any downtime. This aligns with CI/CD's principles of rapid and reliable deployments.