The current fast-evolving markets call for delivery of high-quality products to the market at great speed, to have a competitive advantage Organizations in the technology verticals need to be really fast and accurate both at the same time.

This may give rise to various complexities, therefore, increases the proneness to error.

Quality Assurance must evolve to help ensure customer experience and also meet the constant demands of speed by the inclusion of Artificial Intelligence.

Stage Zero:
The initial stage where writing code is a repetitive process, the addition of anything even as small as adding a field means adding it to a test. More the tests, greater are the instances of failure to ensure the app’s functionality as a complete product. To solve this issue you need to ensure all failed tests are checked for a bug.

Stage One:
At this Stage, more the better an AI can view the application more the autonomous QA process will become. Along with visuals, AI should look at the page’s Document Object Model, Now the tests can be written automatically which otherwise had to be written manually. Algorithms need to be in place which can differentiate actual changes from that are not. AI can not only write test cases but also check them and notify should the test fail which can later be checked manually if the failure is real or because of change in software.

Stage Two:
Up till this stage, QA engineers avoid the time-taking aspects of writing checks, also visual and document object model elements can be checked. AI can understand the differences in an application just as a regular user would understand, thus AI can group the changes from different pages.

Stage Three:
Till the previous stage, human intervention is needed to make any change or to correct any failed test. Now, AI now can apply machine learning techniques, examine visual elements and use the rule of design to analyze if the UI is right or not. At his level, AI can evaluate pages simply by the rule of designs and understanding the data.

Stage Four:
Human intervention was still needed to drive the tests, at this stage AI can take over and examine an app semantically just like a user would. Understanding of user flow and the page becomes simple as AI can visualize the interaction it has learned over time. Learning techniques will be used to drive tests automatically.

Stage Five:
At this stage, AI can directly communicate with the product in-charge, understand the applications and drive the test without any human intervention. Visual testing, API testing and automated testing can currently be performed by Artificial Intelligence. Tech Firefly provides an ideal combination of scalable professional resources at the right place and right time, at a competitive price. Our team of qualified and experienced software testers can check your product on various parameters like usability, applicability, functionality, security and scalability.

We have the best in industry track record delivering for Fortune 500 companies across a range of industries, including Digital Media, IoT, eCommerce and fin-tech sectors.

If you have complex QA testing requirements, Tech Firefly will be able to help you strategically to meet your objectives.

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