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Skills Required for an AI-Assisted Testing Team
ai assisted testing team
Generative AI today brings a quantum leap in the world of software engineering, revolutionizing how an entire industry operates. The software testing revolution will start with its people. Roles such as testers, automation engineers, test managers, and architects, will apply AI to change software testing. At the end of the day, AI and testing both need each other.
From Manual to Automated Testing: A Practical Guide
transition from manual to automated testing
The only thing more painful than watching flaky automated tests fail is watching teams struggle to write those flaky tests in the first place. Let’s face it: test automation is hard to develop. It’s essentially a distributed system built on top of half-baked features that cause race conditions with every interaction, and test data is its own nightmare. It’s no wonder that so many automated test cases end up having so many problems. Even seasoned developers often struggle to write them well.
How to Avoid That Nasty Feeling of Customers Finding an Ugly Bug
avoiding bugs in software
As we all know during software testing we uncover bugs in functionality, requirements, user flows, data, user experience and interface, etc. We put strenuous effort to avoid leaking bugs to production. In most cases, it’s inevitable to face some unpleasant scenarios. However, even the most experienced software testers can sometimes miss bugs, and nothing feels worse than when your boss notices that a customer found an ugly bug that made its way into production. We cannot ensure a pure bug-free product, but we can do our best to arrest important bugs that hamper the product's functionality. To do this, we need to follow a certain set of procedures and processes. In this blog post, we'll look at various ways that software testers may take to avoid that unpleasant experience and ensure the delivery of quality products and applications.

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