The latest News and Information on Software Testing and related technologies.
Regression testing—when done well—gives software teams the confidence that their entire application works properly after a code change. But doing regression testing manually is time-consuming, costly, and difficult to scale. As their applications grow in complexity, many teams end up having to throw more and more resources into regression testing—hiring more QA specialists and waiting longer for them to complete testing with each release cycle.
QA testing tools include everything from performance testing tools to workflow management tools. If you’re just getting started with software quality assurance, it can be difficult to know what tools you need (and how to tell them apart). Functional testing is the foundation of most software quality assurance efforts. That’s why we think the right automated functional testing tool is the most important part of your QA toolbox.
A hands-on guide to learning how to run your mobile automated UI tests with Sauce Labs and Bitrise.
In a digital-first world, delivering business apps with high efficiency and top-notch quality is critical to your business success and customer satisfaction. Oracle is a major ERP application used by the world’s biggest companies to ensure business runs smoothly, but Oracle deployments are heavy, risky, and slow. How can organizations make them more efficient?
Loadero supports three feature-rich test frameworks: Javascript + Nightwatch Java + TestUI, Python + Py-TestUI, but to expand the functionality further, we also develop custom commands for more insightful performance and load testing. One of the recent additions to the custom commands to use in your Loadero test scripts is the timeExecution() command.
Autonomous testing is an emerging testing practice in which tests are completely created, driven, and managed by AI/ML, eliminating the need for human intervention. Essentially, autonomous testing is a higher level of automation for automation testing. This is a recent shift in the testing industry as AI technologies evolve to be more advanced, opening a promising era of human-machine integration testing.