Ditch the Testing Tears
We've all been there. You've built an epic new feature, but then the dreaded T-word hits: Testing. ??
Testing can feel slow, tedious, and sometimes downright frustrating. But what if there was a way to make testing faster, smarter, and even...fun?
?? Did you know? Nearly 50% of test automation projects fail due to inadequate planning and a lack of skilled resources.
Imagine a world where your testing process has a superhero sidekick!
This sidekick, AI testing, uses artificial intelligence to automate many of the tedious tasks and make your life as a developer much easier.
? Save Time and Effort with Self-Healing Automation
Self-healing automation uses AI to automatically update test scripts, saving time for manual intervention. It is beneficial when the application’s code changes frequently, leading to broken test scripts.
BrowserStack's self-healing capabilities ensure your tests remain accurate and up-to-date, reducing the time and effort required for maintenance.
?? Learn how to use AI self-healing feature on your tests with BrowserStack Automate !
? No More Regression Tears
In Regression testing, testers often spend a lot of time to ensure that the functionality of the feature/software has not changed due to the introduction of new features.
AI has revolutionized this process by intelligently automating tests based on code change. This not only accelerates the testing cycle but also enhances the overall efficiency and accuracy of regression testing, allowing teams to focus on more complex and creative aspects of software development.
?? Fun Fact - Studies show that companies transitioning to intelligent codeless test automation can see cost savings of 25% to 75%!
? Predicts Where Bugs Might Be Hiding
AI-driven defect analysis uses machine learning to predict problem areas in the code. It prioritizes test cases based on the chance of defects, helping testing teams focus on critical areas.
This ensures that testing efforts are optimised for efficiency, with the most important areas of the application tested thoroughly. Scheduling optimizes testing resources for efficiency, ensuring testing is done appropriately and with the right resources.
For an extra layer of visual confidence, consider Automated Visual Testing Tools like App Percy . With App Percy, you can automatically detect visual defects on every commit across devices and screen sizes.
On every code push, App Percy captures screenshots across chosen devices and compares them against the baseline to catch visual imperfections.
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?? Let's take an example.
Suppose you had a website bstackdemo.com on which you build some functionality and want to plan the test automation.
This is where ChatGPT and BrowserStack Automate come in.
You can use GPT in such cases by giving it the details on functional components and their use and asking it to generate a test plan.
?? Prompt: "Bstackdemo.com is an eCommerce website. Prepare a test plan for automation tests to carry out the following validations on the website:
And just like that, you have enough template material to start a test document. You can share this with your team and build on this basic plan.
Notice not only did it understand the task from limited information, but it also figured out an appropriate platform and automation tool to test with.
Once your plan is ready you can test it on BrowserStack Automate, running the test cases across multiple browsers and devices simultaneously. This ensures thorough coverage and quick feedback.
You can find more test case examples here ?? Mastering Test Automation with ChatGPT
AI testing is here to help you become a super tester, saving time, money, and frustration. With AI by your side, you can focus on what you do best – building awesome features that users love!
What's Hot at BrowserStack???
We hope you enjoyed reading this edition of The Quality Loop as much as we did curating it for you. Let us know in the comments below what you want to see in the upcoming editions, we're waiting! ??
Manager-Software engineering
5 个月These models needs to be trained right? I.l always wonder about inaccuracies and misinformation on early usage.