The recent digitalization trend has led to accelerated product release cycles shifting from months to weeks, days and hours. For instance, on ecommerce sites like Amazon, Flipkart and others, the content changes every few hours. Releasing a product in such a short span of time raises a critical question about its testing. This brings a demand for either a large manual resource pool working 24x7 with supported infrastructure or reliance on automation. Furthermore, changing technology is another barrier, as open-source frameworks might not work with all kinds of technologies. Automation is a solution to address the above-mentioned challenges — one-time investment, automate once and execute when required.

The market offers various commercial and open-source test automation frameworks/tools, each with its own advantages/disadvantages. Most of these tools require skilled resources with a high level of programming expertise which is again a challenge for delivery teams. Existing market tools also have limitations in terms of improving the coverage since some test scenarios are hard to automate. Hence there arises a demand for a next-generation no-code test automation framework using AI/ML to address all kinds of automation requirements and improve coverage.

With our latest whitepaper, discover how the implementation of AI/ML-powered image-based solutions can automate hard-to-automate test scenarios, thereby enhancing the test coverage.

Download our whitepaper for better insights.