Measuring the success of quality assurance (QA) and software testing can be a complex task that requires going beyond surface metrics. It’s a nuanced process that needs an in-depth understanding of how every decision and action your team takes translates into tangible benefits for the product, the team, and, ultimately, the end-users. However, with so many data points available, identifying which metrics truly matter can feel like finding a needle in a haystack.

According to Gartner’s prediction, 90% of organizations will consider information the most valuable asset a business may have. And where does this information come from? Here’s a magic word – data. Even though many companies report making important decisions based on their gut feeling, 85% of them would like to improve the ways they use data insights to make business decisions.

Ready to write functional test cases that testers can action on and that, combined, thoroughly cover the product? Let’s first define functional software testing. Broadly, functional software testing is defined as a type of black-box testing method that focuses on the functionality of a software product. Functional testing is designed to ensure a web or mobile software application meets its requirements and specifications by executing test cases from the user’s perspective.

Authentication and authorization play crucial roles in modern application development. Over the years, the way we implement these security measures has evolved, with protocols like OAuth2/OpenID Connect now being widely used. While web applications can manually implement these protocols, it requires a certain level of expertise. Moreover, when it comes to single-page applications (SPAs), additional measures are necessary to securely manage security tokens on the application side.

Testing is not just writing test scripts and executing them. While not usually considered as an official step in the software testing life cycle, test case management is a crucial activity whose presence can be found in almost any stage of the testing process. The simple act of choosing which test case to execute is already test case management. Done right, test case management can make a real difference.

Digital transformation is a driving force behind new models and approaches today. Enterprises need to adapt quickly and creatively to reap the benefits of the digital economy. One key aspect of this transformation involves cloud-based SAP testing, essential in building a reliable SAP production and release environment. This insightful blog explores the strengths and capabilities of Cigniti, SAP, and Tricentis, which are vital to ensuring successful large-scale SAP transformations.

In the realm of data integration and management, effectively handling XML files is paramount. The structure and readability of XML (Extensible Markup Language) play a critical roles in data exchange and configuration across various applications and systems. This is where an XML formatter becomes indispensable. By optimizing the readability and structure of XML documents, an XML formatter ensures seamless data integration and management processes.

GPU as a Service (GPUaaS) serves as a cost-effective solution for organizations who need more GPUs for their ML and gen AI operations. By optimizing the use of existing resources, GPUaaS allows organizations to build and deploy their applications, without waiting for new hardware. In this blog post, we explain how GPUaaS as a service works, how it can close the GPU shortage gap, when to use GPUaaS and how it fits with gen AI.

Selecting the right API manager is critical for effective API lifecycle management. These tools, known as API managers, not only streamline the entire process from design to deployment but also bolster security and performance. This guide cuts through the noise to help you understand the essentials of API management and introduces you to the top tools excelling in the field in 2024, to equip you with the knowledge to choose the optimal solution for your business.

The latest automation trends are paving the way for what Gartner defines as "hyperautomation"—the philosophy that everything that can and should be automated will eventually be automated. However, many businesses seeking to harness the latest automation technology don’t know where to start. This blog highlights five timely trends in automation that should be on your digital transformation roadmap in 2024.