Continuous testing means all your tests are executing all the time, providing continuous feedback into the quality and health of your applications. In order to achieve continuous testing, you must first adopt the right test automation strategy. Understanding how to bring in all different types of test automation practices as efficiently as possible enables you to get started down the path of continuous testing.
If the designs(XD adobe screens)from the clients are given in arabic how to overcome that problem if english is the only language that can be used to test from our side. Can i get the solution? Can i get any tool to change the entire texts(which is given in image) from arabic to english?
The standard test automation toolkit easily completes web and mobile automation, but it fails to detect elements on desktop and mobile content-based applications. Computer vision (CV) replicates the human eye using deep learning technology and can determine objects in pictures, which helps machines orient in space and perform repetitive detection tasks. Let's see how CV can help automate the testing of a much wider software product list.
Testers and developers often have a strained relationship. Each side has a certain level of expectations as to what the other side should know and do, while there is little understanding of the constraints, conditions, and requirements that the other team has to work within. But it does not have to be this way. A little effort in giving more specific and helpful feedback can go a long way toward improving attitudes.
QA and information security use different methods to approach the same goals. When both groups work together, they can make a greater impact on the security of our products. Here's how the QA team can collaborate with infosec to implement strong security standards, prioritize what to test, and obtain quicker feedback on processes, ultimately seeing fewer production incidents related to security.
The advantages of shifting left and testing as early as possible are obvious. But as you automate more testing, the test suite grows larger and larger, and it takes longer and longer to run. Instead, just automate the process of finding the right set of tests to run. The key to that is machine learning. This isn't AI bots finding bugs autonomously without creating tests; this is a different way to use machine learning, and it’s far simpler.