In an industry where rapid software development and high-quality performance are paramount, Tricentis Tosca continues to lead the way in providing robust testing solutions that help teams deliver their best work faster. The latest release, Tosca 2023.1, introduces a host of new features designed to streamline your testing process, enhance your Oracle Fusion application automation, and ensure legal compliance with accessibility testing.
AI is revolutionizing our working world. (It even helped us write this blog post.) And now, it can help you write your test plan. Our latest release of Tricentis Test Management (TTM) for Jira is equipped with a groundbreaking AI capability that has the power to revolutionize your test planning process. This game-changing feature saves valuable time by enabling users to generate test steps in just a few clicks, thanks to the power of artificial intelligence.
SAP has selected Tricentis as its first-ever partner for its SAP Activate initiative. SAP Activate is a comprehensive methodology and implementation framework designed to facilitate faster, more efficient deployments of SAP software. It incorporates best practices, preconfigured business processes, and guided configuration to ensure a smooth transition from implementation to adoption.
The user experience is critical – just ask Ticketmaster.
In software performance testing the landscape is continuously evolving, driven by advancements in technology and the growing complexity of modern applications.
We are pleased to announce the release of NeoLoad 2023.1! While there are many new features and enhancements in this version of our software, this article will focus on two of the most impactful upgrades for our customers.
To help organizations migrate to S/4HANA successfully, Tricentis has partnered with SAP to provide our customers with tools and best practices for ensuring quality throughout every phase of the migration project. SAP invited Tricentis to be the first partner to contribute to SAP Activate, SAP’s project implementation methodology for deploying, adopting, and extending transformational solutions like S/4HANA.
Data observability is a critical aspect of any data-driven business. It refers to the ability to monitor, understand, and troubleshoot data quality issues in real-time. In essence, data observability ensures that data is accurate, reliable, and accessible. It involves collecting and analyzing data from various sources to gain insight into how data is being used, how it is flowing through the system, and whether it is meeting the required quality standards.
Model-based test automation and record and playback — have you heard these buzz phrases before in the world of software testing? They’re two similar approaches to testing, yet they’re vastly different in their execution. But what exactly is the difference between these two techniques and why does it matter?
Load and performance testing remains a vital aspect of any software delivery process. Ensuring that your application supports the anticipated number of concurrent users prevents brand damage, system failures in production, and loss of revenue. There is a saying in engineering that the shape of the solution is dictated by the shape of the problem. Translating this to performance testing solutions, there are several common design elements that all load and performance testing solutions share.
