Testing as a Service

Contact us Cleverlance

AI

Intrigued by AI: exploring its promising benefits

 

Incorporating AI tools into our testing processes has ushered in 
a revolutionary era, where the power of AI is accelerating test and script generation while enhancing automated testing capabilities. Far from being a threat, we are using AI as a chorus of workers that effortlessly perform routine tasks with precision, eliminating the common pitfalls of human fallibility in mundane tasks. Get to know our stories and discover how the implementation of AI has ushered in an era of testing progress.

 

How can AI revolutionize the testing process from strategy to process evaluation?

The use of AI, specifically ChatGPT, in our current financial sector project has significantly accelerated the testing and continuous debugging of the product during development. Using ChatGPT's AI-assisted test case to code generation capabilities, we were able to quickly set up the Cypress testing framework and create the first automated login/logout test in a matter of hours. The automated test results are also connected to our existing bug management infrastructure (JIRA) and test case management tool (TestRail) through AI guidance. A critical aspect of effectively harnessing the power of AI was knowing how to formulate the right queries to get accurate and relevant insights from ChatGPT. See more

The use of AI, specifically ChatGPT, in our current financial sector project has significantly accelerated the testing and continuous debugging of the product during development. Using ChatGPT's AI-assisted test case to code generation capabilities, we were able to quickly set up the Cypress testing framework and create the first automated login/logout test in a matter of hours. The automated test results are also connected to our existing bug management infrastructure (JIRA) and test case management tool (TestRail) through AI guidance. A critical aspect of effectively harnessing the power of AI was knowing how to formulate the right queries to get accurate and relevant insights from ChatGPT. One of the key benefits of using ChatGPT is the ability to quickly set up parallel automated tests, even for those new to the field. This allows us to run multiple tests at the same time, significantly reducing testing time and increasing overall efficiency. The implementation of ChatGPT not only meant rapid setup and procedures, but also ensured that we could adopt modern approaches, free from outdated practices and cumbersome habits of traditional workflows. This will ensure that our testing processes remain up to date and in line with the industry best practices.

Looking ahead, the next phase of AI use will be to leverage its capabilities for DevOps, maintenance and monitoring. By incorporating AI into these areas, we expect to see further improvements in efficiency, reliability, and overall project success.

robot

At our company, we had the privilege of being part of the development of a state of the art mobile banking application for a major client in finance. We were faced with the challenge of ensuring a robust and efficient testing strategy for this super application, with more than 160 talented people contributing to the project and over 25 dedicated testers. Recognizing the potential of AI-powered testing tools, our team set out to accelerate the process of creating a comprehensive testing strategy. The use of AI in this test management step proved to be extremely effective. A task that traditionally required significant time and resources is now streamlined. The AI tool has also been instrumental in the creation of user acceptance testing (UAT) scenarios and the creation of test scripts. In addition, we used Copilot X, another AI-powered tool, to review code, which greatly accelerated the detection of potential defects. See more

AI was not limited to the preparation phase; it also played an active role in the actual testing process. We used LambdaTest, AI-powered cross-browser testing tool, that allowed us to seamlessly test the application across multiple platforms.

Our open-minded approach to incorporating AI tools into the testing process paid off in all aspects, from strategy development to automation and test execution. The AI-powered tools also proved to be a tremendous asset in test evaluation, providing comprehensive management summaries of test progress.

The combination of human expertise and AI-driven insights led to this success story, which exemplifies the positive impact that AI can have on the software development lifecycle, particularly in the area of testing. Our commitment to innovation and continuous improvement ensures that we remain at the forefront of technological advancements, ready to take on new challenges and exceed expectations in the world of software development.

Is AI-augmented testing revolutionizing mobile banking application development?