Tutorials and resources on how to apply test automation in software testing
If videos are one of the modern tools for solitary software testing training, podcasts can also play an important role. Audio-only training is useful in a context where the eyes are already busy, when you commute in your car for instance.
We all know that test automation is a must if you hope to perform software testing on a large e-commerce project. However, there is more than one way to write tests for your software, and each has its own pros and cons.
Artificial Intelligence (AI) and Machine Learning technologies are slowly finding a place in many aspects of digital organizations. In this article, Stella Murugesan explains to us what their impact on software testing could be. Automatic test cases creation anyone?
The first part of this article presented some of the current challenges of performance testing. It discussed also the data and times pillar of performance testing. This second part covers the resource and cost aspects. The author shares some final thoughts on the future of performance testing.
Are your full stack acceptance tests slow, non-deterministic and hard to maintain? You’re not alone. Imagine running hundreds of them in a few seconds, giving the same result every time. How do you think a feedback loop that fast would that affect your team’s productivity?
More and more organizations build test automation frameworks based on the WebDriver and Appium tools to perform software testing their web and mobile projects. A big part of why there are so many flaky tests is that we don’t treat our tests as production code. Moreover, we don’t treat our framework as a product.
The shift towards mobile platforms is a strong trend currently and Android is the most widely adopted mobile OS with an estimated market share above 80% in 2014. You should naturally test all the apps developed for Android and a large number of open source testing tools and test automation frameworks have been developed to achieve this goal.
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