Tutorials and resources on how to apply test automation in software testing
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.
Application developers typically test their code, often with large suites of automated tests, before each new release. But, when the application is running live, it will be receiving data from multiple sources, over which we may have little control, and that data will sometimes be unexpected and invalid in some way.
We continue our series of articles dedicated to testing systems that integrate Multi-Factor Authentication (MFA or 2FA) security mechanisms!
In today’s digital platforms-from shopping apps and streaming services to health trackers and customer portals-machine learning is central to how systems personalize experiences, automate decisions, and respond to user actions. But no matter how advanced a model is, it can fail if the data feeding it isn’t reliable.
We continue our series of articles focused on testing systems that incorporate Multi-Factor Authentication (MFA or 2FA) security mechanisms. In our previous article about MFA testing, we explored why companies operating in regulated industries must adopt these mechanisms to strengthen their security.
This is an introduction to Healenium, an open source tool with proven results to enhance the stability and maintainability of Appium tests. You will learn about its functionality, explore its integration with Appium, and demonstrate its practical application through a live code demo.
In this article, Priya Yesare explains why AI driven software testing is faster, more efficient and more reliable. AI addresses the limitations of traditional test automation by incorporating machine learning, large language models (LLM), natural language processing and predictive analysis to automate complex tasks with improved accuracy.
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