Is flaky automation better than no automation at all? Does it help accelerate projects and reduce timelines, or does it end up causing more problems than it solves? And are the questions moot when, with modern AI-powered tools, there’s no excuse for flaky tests?
I have heard some say that their aim is for 100% test automation. But 100% test automation isn’t practical or desirable. In fact, I would argue that—for practical and desirable risk mitigation—100% test automation isn’t even possible.
Whether or not to automate is no longer the question. Instead, companies are increasingly pondering how they should automate their solutions and which tools to choose.
Shift-left testing is increasingly used by forward-thinking companies to reduce project durations. The theory is that by doing a little bit of testing upfront, you save a lot of effort down the line. You can think of it as a stitch in time. And it works!
With so many software test automation tools to choose from, companies often cherry-pick a suite of low-cost options to test their full landscape. Unfortunately this is highly problematic, adding unnecessary complexity, increasing costs and undoing any of the purported benefits.
Cross-browser testing is a vital strategy in the modern world, with its many devices and operating systems, and where browsers interpret HTML, CSS, and JavaScript differently. It allows developers to identify and fix inconsistencies across a multitude of platforms, leading to a more professional and user-friendly end product.
OpenText has released UFT One 2023. This is the latest version of their class-leading test automation tool. We’ve selected our top 3 release highlights.
It’s generally accepted that maintaining a thorough and robust test lab is prohibitively expensive and time-consuming. Well, there is now a simple way to make it much easier and cheaper…
Artificial Intelligence (AI) and Machine Learning (ML) are the talk of the town. The rise of ChatGPT has catapulted these technologies firmly into the mainstream, and you’re increasingly likely to hear them mentioned in everyday conversations at the pub or the gym.
Artificial Intelligence (AI) and Machine Learning (ML) are increasingly used in software testing. These technologies are no longer at the fringes and are a vital part of testing in many organisations. Read on to find out why they are a big deal for software testers. As a professional software tester,
Sign up to receive the latest, Software Testing Insights, news and to join the Calleo mailing list.
You can, of course, unsubscribe at any time!
By signing up you consent to receiving regular emails from Calleo with updates, tips and ideas on software testing along with the occasional promotion for software testing products. You can, of course, unsubscribe at any time. Click here for the privacy policy.
