"Holistic testing optimization" in automated testing means:

1. _End-to-end testing_: Automated tests consider the entire testing spectrum, from start to finish.

2. _Integrated testing approach_: Automated tests integrate multiple testing aspects, such as functional, performance, and security.

3. _Cross-system testing_: Automated tests consider interactions between different systems and components.

4. _Data-driven testing_: Automated tests use data to drive testing, ensuring comprehensive coverage.

5. _Risk-based testing_: Automated tests prioritize testing based on risk, focusing on high-impact areas.

6. _Continuous testing_: Automated tests enable continuous testing, ensuring timely feedback and improvement.

7. _Test automation framework_: Automated tests utilize frameworks that integrate multiple testing tools and frameworks.

8. _Artificial intelligence and machine learning_: Automated tests leverage AI and ML to optimize testing, predicting and adapting to changing conditions.

Holistic testing optimization in automated testing ensures that all aspects of testing are considered, resulting in comprehensive, efficient, and effective testing that improves overall quality and reliability.