Advanced risk management in automation testing involves the use of ________ to predict potential future failures.
- Artificial Intelligence
- Decision Trees
- Machine Learning
- Predictive Analytics
Advanced risk management in automation testing often leverages predictive analytics to analyze historical data and patterns. By using techniques like machine learning and decision trees, teams can predict potential future failures and take proactive measures to mitigate risks, enhancing the effectiveness of the testing process.
Loading...
Related Quiz
- In advanced Selenium scripting, __________ can be used for handling complex AJAX-based dynamic content.
- _________ tools help in identifying bottlenecks in the automation scripts, aiding in performance tuning.
- When testing a web application for load balancing, how would you utilize Apache JMeter effectively?
- Automated test reports in DevOps should ideally include __________ to assess the quality of the software over time.
- What is a key factor in balancing the cost and benefit of automation in a continuous integration environment?