Healthcare organizations have a massive responsibility to manage enrollments, eligibility data, and other patient information, for which the EDI 834 file layout plays a significant role.

Imagine running a Python project without a requirements.txt file. Just as you rely on these checks to ensure everything runs fine, smoke tests are performed to confirm that your code is ready for the next phase. Let’s dive into the world of smoke testing now!

You’re testing a user registration page on a website to ensure that new users are able to set up their account easily. You build a test that checks to make sure that users can: Congratulations, you’ve just automated a user acceptance test. But what is user acceptance testing (UAT)? And why is it important for QA testers to understand? In this article, we’ll walk you through everything a QA tester should know about user acceptance testing.

Today we are excited to announce Tricentis Testim Salesforce! Testim Salesforce extends Tricentis Testim’s robust AI-powered test automation to the Salesforce application. Incorporating proven functionality from Tricentis Test Automation (TTA) for Salesforce, Testim Salesforce helps application development teams author tests faster, leverage pre-built test steps for common Salesforce operations, and reduce maintenance using Salesforce metadata-driven locators.

What drives organizations to make the tough choices between speeding up releases, cutting costs, boosting product quality, and sparing time for innovation? One of the critical reasons is the time consumed in maintaining failed test cases and the inability to leverage AI in testing. Test automation is proving ineffective and outdated due to the high cost and time needed for maintenance.

Some of the most innovative and profitable microservices architecture examples among enterprise companies in the world — like Amazon, Netflix, Uber, and Etsy — attribute their IT initiatives’ enormous success in part to the adoption of microservices. Over time these enterprises dismantled their monolithic applications. They then refactored them into microservices-based architectures to quickly achieve scaling advantages, greater business agility, and unimaginable profits.

The network of physical things that are fixed with software, sensors, and different technologies for the purpose of swapping and connecting data with other systems and devices over the Internet is known as the Internet of Things (IoT). The Internet of Things (IoT) has experienced incredible growth, thanks to technological advancements and the surge in demand for instant insights into digital transformation solutions and activities.

Energy, the driver of the global economy, is undergoing one of the largest secular shifts of our time, propelled by hundreds of trillions of dollars in global investment in the next 25 years. This shift creates a tremendous opportunity for energy companies. And, at the heart of successfully navigating this change sit data and AI.

The network of physical things that are fixed with software, sensors, and different technologies for the purpose of swapping and connecting data with other systems and devices over the Internet is known as the Internet of Things (IoT). The Internet of Things (IoT) has experienced incredible growth, thanks to technological advancements and the surge in demand for instant insights into digital transformation solutions and activities.