AI Testing
QA expertise in AI testing, which cuts Regression testing time by 80%. Experience with various automation tools that support AI and improve the efficiency and productivity of QA processes.
Capable of increasing the capacity to process large amounts of data (Data driven Framework).
We assist you in identifying product defects early in the development life cycle.
AI Automation Testing :
Artificial intelligence, Machine Learning, and Deep Learning are the latest trends.
With everyone chomping to jump on their competitors by employing AI, it’s no surprise that software testing companies are also getting in on the trend.
General Applications of AI based Automation :
Traditional test automation tools have specific identifiers to define the components of an application. When the application is updated or changed in any way, these components can also change.
Due to the fixed definitions given to these elements, the tests functioning fine before the change will now fail and provide a false negative result.
Self-healing tests apply artificial intelligence algorithms to automatically identify unexpected errors due to dynamic properties and recommend a better alternative or automatically update the script.
This testing stops tests from failing and saves the time a QA might have spent trying to find and fix the issue.
In AI-based user interface testing, visual locators can now find elements, even when their locators have been altered, on a web application by vision. This eliminates the need for hard coding with Accessibility IDs or other locators.
Furthermore, intelligent automation tools can now use OCR and other image recognition techniques to map the application, locate visual regressions, or verify elements.
Tests generate copious amounts of data that must be combed to derive meaning. The application of AI to this process dramatically increases its efficiency. AI-powered algorithms can be used to detect and categorise errors.
More sophisticated applications of AI algorithms can also identify false negatives and true positives in test cases. This can be very helpful and significantly reduce the workload of QAs.