Success in the new age of software development depends on increasing the velocity of delivery -- meaning speed, agility, and efficiency -- while continuing to meet customer expectations when it comes to quality. Ultimately, creating excellent software faster comes down to an effective pipeline.
Part of making that pipeline effective is optimizing your automated testing and minimizing the false positives that those tests produce. When tests fail because code is flawed, progress is slowed, but at least it’s for a good reason. When tests fail for reasons apart from the code, that’s a complete waste of time.
False positives can be particularly challenging with UI testing, and we see this challenge often with Selenium and Appium, two popular test automation frameworks. We often find tests that were written with various assumptions that aren’t always reliable, especially in the world of modularized dynamic applications and changing network conditions.
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