The primary goal of test planning in the software testing lifecycle is to set the direction and scope for the testing activities. It helps in defining objectives, strategies, and the effort required to validate that the software meets its requirements and is free from critical issues.

Integration testing focuses on combining units or components of a software and testing them as a group. It's about validating the interactions between different modules or services in a specified flow to ensure they work together as intended in the system's broader environment. Unit testing, on the other hand, checks individual components, while system testing validates the entire application.

A/B Testing allows companies to compare two versions of an application (or specific features) to determine which one is more effective in engaging users. By using this method, the company can test new designs or elements to see if they address user feedback about the application being dull or non-engaging.

In incremental integration testing, "top-down" and "bottom-up" approaches signify the sequence and direction of integration. "Top-down" begins with the main function and progressively integrates modules, whereas "bottom-up" starts with modules, integrating them into the main function.

Continuous Integration (CI) involves frequently integrating code changes, often several times a day, into a shared repository. Automated builds and tests are run to detect integration issues early, allowing teams to address them when they're easier and less costly to fix, rather than facing integration problems during the final stages of development.

A security audit is a systematic evaluation of an organization's information systems. The primary goal is to check whether the system's security measures align with established security policies and best practices. It ensures the organization meets required security standards and mitigates risks.

A baseline in Configuration Management refers to a set point, a reference, or a snapshot of the product at a particular stage of its development. It serves as a benchmark against which subsequent changes, iterations, or versions can be compared, measured, and tracked.

Screen readers are software applications that convert digital text into synthesized speech. They are primarily used by users with visual impairments, including blindness, to access content on computers and the web. While there are other assistive technologies for other types of impairments, screen readers specifically cater to those who cannot see or read screen content normally.

The primary objective of the Test Planning phase is to define the scope, approach, resources, and schedule for the testing activities. It involves determining what will be tested, who will do the testing, how the testing will be managed, and the criteria for success. This foundation helps guide all subsequent testing activities.

During Performance Testing, the system's performance is evaluated under various conditions to ensure it meets the desired criteria. Metrics like throughput (transactions per second or tasks per time unit), response times (how long it takes to respond to a request), and resource utilization (CPU, memory usage) are key indicators that help testers understand the system's performance behavior.

A test strategy lays out the overall approach and objectives for testing, ensuring they are in harmony with the project's goals. This alignment is critical because it ensures that the testing efforts support the broader project aims, focusing on delivering quality and value to the stakeholders. It sets the direction, scope, resources, and timeline for the testing activities.

End-to-end testing typically fits just before deployment in the Continuous Delivery (CD) pipeline. In the CI/CD model, continuous integration deals with the frequent merging of code and running unit tests to ensure code integrity. The CD pipeline, on the other hand, ensures that the integrated code is consistently in a deployable state. End-to-end testing, which tests the flow of an application from start to finish, ensures that the system behaves as expected and identifies system-level issues before actual deployment.