Do you want to know the best way to increase your software quality? If so, intelligent test automation and analytics are for you. When it comes to intelligent test automation, there are many benefits that come with using this service. Intelligent Test Automation is a type of testing designed to be intelligent in its approach by automating tests on various levels of application structures.
This includes unit-level testing, integration level testing, system-level testing, functional or acceptance level testing, and end-to-end regression testing. It also handles cross-browser compatibility issues as well as other types of checks that would otherwise have taken up too much time for manual checking.
3 Main Points about Intelligent Test Automation and Analytics
The first main point is that intelligent test automation and analytics can be used to optimize the testing process
The second main point is that intelligent test automation and analytics can help reduce time spent on repetitive tasks. This will free up resources for more important activities such as conducting exploratory tests or finding bugs
The final main point is that intelligent test automation and analytics require a team with expertise in application security, development, QA engineering along with tools knowledge of Selenium WebDriver, TestNG framework, Jenkins CI server among others.
What are the benefits of intelligent test automation and analytics?
Intelligent test automation and analytics can provide benefits like intelligent, scalable, accurate testing. It also allows for intelligent decisions about how to prioritize tests based on project risks that are determined by the existing data within the application security environment
What do intelligent test automation and analytics look like?
Intelligent test automation and analytics is the intelligent integration of human expertise with existing automated tests. Automated testing can be configured to look for specific types of security vulnerabilities, such as cross-site scripting (XSS) or SQL injection attacks. This allows intelligent decisions about how to prioritize tests based on project risks that are determined by the application data
What challenges will intelligent test automation and analytics solve?
In a recent survey conducted among software testers, nearly 25% were concerned about their ability to keep up with manual testing demands due in part to insufficient time spent completing regression tests. Intelligent test automation and analytics aimed at addressing this challenge by helping testers focus on high-risk areas while still being able to manage their current workloads effectively.
How do intelligent test automation and analytics allow testers to make intelligent decisions?
With intelligent test automation and analytics, you can be confident that testing efforts are focused on the right areas while still being able to manage your current workload effectively. With various risk-based methodologies available today, it is easy for any one of them to get lost in the shuffle without an effective way of prioritizing tests against project risks.
Furthermore, with intelligent test automation and analytics, you will have access to rich data about application usage which allows you to prioritize regression tests by measuring their impact on business metrics.
In conclusion, intelligent test automation and analytics are an intelligent way to ensure testing efforts are focused on the right areas while still being able to manage your current workload effectively.