Application release cycles are getting shorter and test environments more complex. But resources remain limited to meet the increasing QA demand and mitigate risks while trying to accelerate the pace of innovation. Conventional automated testing is often not adequate to address these QE needs currently.
AI-led and autonomous testing is the answer
According to Nelson Hall, organizations engaged in an agile and continuous testing transformation are looking at emerging automation opportunities such as AI-based automated test script creation. They are deploying automation through continuous testing approaches, AI and other cognitive technologies.
A comprehensive AI-testing open-source platform for codeless test automation. Supporting diverse platforms—web, mobile, API, Desktop/Windows, and Mainframes with Parallel Execution—it’s self-healing features makes application testing future ready.
Accelerates the testing of Android mobile devices features like telephony, multimedia, camera, thermal, and stability.
The client wanted to test an iClicker responsive Web e-learning app. Their supplier was using a standard automation framework that would have taken 340 hours to automate the tests at a cost of US$3400, while the time to execute the tests would have reduced to 2.75 versus from 128 hours when done manually. The client wanted to reduce costs further.
With the use of iHarmony’s AI component to augment the automation process, the client’s manual QA team automated a regression pack of 62 scenarios in five days. Both the cost and the time to generate and execute as well maintain the test suite were phenomenally lower (at an average of 80%) than with automated testing alone.
Jumpstart test automation journey with access to 230+ reusable methods and ready to use test automation framework CI/CD enabled
One-stop solution that supports all Web and mobile applications and API testing
Supports all SAP cloud modules and also Web and Hybrid Mobile applications, API testing and accessibility testing