Systems | Development | Analytics | API | Testing

Exit criteria in software testing are a set of predefined conditions or requirements that must be met before a software testing phase or software testing project can be considered complete and the software can move on to the next stage of development or release.

This article is based on Ballerina Swan Lake Update 7.2. Today, I want to share insights into implementing GraphQL subgraphs in Ballerina. But before we dive into coding, let's take a moment to understand GraphQL federation and the problems it solves. Ballerina Swan Lake WSO2 is an open-source and cloud-native programming language optimized for integration GraphQL Federation is a way to build a unified GraphQL API by combining multiple GraphQL services.

The industrial metaverse might seem like something from an advanced, sci-fi universe far in the future, but the building blocks of this concept are already present and functioning today. The early stages of a digital ecosystem, which will blend the real and virtual worlds, can already been seen across industries like architecture, transportation, and manufacturing.

Recent Fivetran data model releases help companies get insights out-of-the-box and seamlessly build a Customer 360.

From accurately tracking the opening and closing of financial markets to preserving the history of posts and research papers by properly saving the times they were created, edited, and deleted, software engineers must understand how to handle dates and times in their applications. The concept of dates and times is especially important in programming. All programming languages enable developers to manage dates and times in their applications.

Data democratization can feel like just another business buzzword. But beyond the buzz, it represents an important concept: when your employees lack access to the data they need for decision-making, decisions will stall and your business will suffer. Getting value from your data—and delivering that across your organization—is a persistent challenge. Getting value from your data—and delivering that across your organization—is a persistent challenge.

Appian 23.4 is here! As usual, this release is full of new and enhanced capabilities that speed up development and make your work easier. Read on for the highlights, and watch the 23.4 Product Announcement webinar or read the release notes for more on what’s new in this release.

Data is the cornerstone of your business. Appian 23.4 builds on this foundation with our AI, data fabric, and process automation capabilities—making it even easier to get value from your enterprise data. With the new self-service analytics capability, your business users can now securely access your data fabric to browse data catalogs, build reports, and chat with Appian AI Copilot to ask questions about their data.

Working as a software tester, are you sometimes tired of the repetitive and time-consuming nature of the whole process? If yes, a data-driven framework is exactly what you need. A data-driven framework in Selenium is an approach to automated testing that separates test scripts from test data, enabling testers to run the same test script with different data inputs.

Two names that have been making waves with their distinct approaches to building web apps are Next.js and Vite.js. Next.js is a React framework specialized in server-side rendering (SSR), static site generation (SSG), and hybrid applications. It provides features like file-based routing, image optimization, and is particularly suited for projects where SEO and fast initial load times are priorities.