Demand is higher than ever for rapid, reliable, and comprehensive software testing. That is driving the quest for innovative approaches that streamline testing processes while ensuring high-quality results. Enter GenAI-driven testing, a revolutionary advance that changes the game by allowing you to “Test More and Script Less.”
With Appvance’s GenAI-driven platform AIQ in mind, this Cheat Sheet provides five pieces of guidance that support such a goal.
1. Let the AI Loose on Your Application
One advantage of GenAI-driven testing is the automated generation of test suites. This typically creates hundreds or even thousands of tests with minimal human intervention. By letting the AI loose on your application, you significantly increase test coverage and uncover potential issues that might be missed with manual testing.
This approach saves time and also enhances the efficiency of your testing efforts. The AI will explore all the various pathways and scenarios within the application, providing a more thorough examination than traditional methods of creating test scripts.
2. Not Every Error is Equally Important
GenAI typically generates a vast number of tests and therefore often identifies vastly more defects than were found by traditional testing methods. Thus, it’s important to recognize that not every error is equally critical. Triage them to avoid inundating your development team with a barrage of low-priority issues. Be selective about which warrant immediate attention by identifying and prioritizing the most critical issues that truly impact the functionality and stability of the application.
3. Target Business Critical Functions
Maximize the benefits of GenAI by focusing its efforts on business-critical functions within your application. These are the areas where errors can have the most significant impact on user experience, data integrity, and overall system performance. By targeting these crucial functions, you ensure that the AI exhaustively tests pathways that are most vital to the success of your software.
4. Invest in Fine-Tuning the Training
GenAI’s effectiveness is further enhanced by investing time and resources in fine-tuning its training. While the AI excels at automatically generating tests, providing it with clear guidance on what not to test can be equally important. Work on refining the training data to exclude irrelevant scenarios or functionalities that do not significantly contribute to the overall quality of the application.
5. Tell the AI What Not to Test
As you guide the AI in its training, explicitly communicate what functionalities or pathways are less critical for testing. This strategic input helps the AI focus on areas of higher importance, saving time and resources. By striking a balance between instructing the AI on what to test and what not to test, you tailor its efforts to align with your specific testing goals.
A GenAI-powered testing platform like AIQ presents an exciting opportunity for software testing professionals to achieve a giant leap in performance. By leveraging the power of artificial intelligence, you can test more comprehensively, identify critical issues efficiently, and dramatically streamline your testing processes. Remember to guide the AI strategically, targeting business-critical functions and investing in fine-tuning its training to achieve optimal results. With GenAI, testing more and scripting less is not just a possibility, it’s a reality that will transform your testing operation.
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