Test design is at the heart of effective testing, a crucial process that can make or break your software quality. Why invest time and resources in managing, executing, maintaining, and automating test cases if they don't directly address business needs or mitigate production risks?

If you have ever come across code that was challenging to expand or maintain, you are not alone. Every developer deals with the difficulty of reviewing old code, which seems like a complicated puzzle. SOLID principles are a useful collection of rules designed to assist you in writing code that is clearer and easier to maintain, instead of just theoretical ideas. Following these guidelines makes your C# applications less subject to errors and easier to maintain.

Today we introduce the Multiplayer Platform Debugger: share deep session replays that include relevant data from frontend screens to deep platform traces, metrics and logs so teams no longer have to search through unrelated data to find and fix bugs.

The first step is often the hardest, and in software testing, this is especially true. When presented with a system, how do you go about and decide what to test? Standing in the middle of the unknown, we need guidance, and learning about test case design techniques is a good place to start. In this article, we’ll show you: Let’s dive in!

Did you know that the AI market size is likely to reach USD 826.73 billion dollars by 2030? Yes, you read it right! The use of artificial intelligence can be seen in every field. AI in UX design is bringing about a revolution in the way users interact with technology. Traditionally, UX design relied on designer intuition, manual processes, and labor-intensive user testing. No doubt, the conventional approach had a positive impact on the user experience.

The headless data architecture is an organic emergence of the separation of data storage, management, optimization, and access from the services that write, process, and query it. With this architecture, you can manage your data from a single logical location, including permissions, schema evolution, and table optimizations. And, to top it off, it makes regulatory compliance a lot simpler, because your data resides in one place, instead of being copied around to every processing engine that needs it.

Multiplayer Environments helps you organize and track your development environments. Streamline system information management and improve productivity by centralizing all of your system data in one place.

When referring to common types of software architecture, often people refer to the general blueprint or structure that software developers follow when building applications. Relying on common architectural styles makes it easier for project managers and programmers to make products efficiently. Development teams can choose software architecture patterns they know can offer the functionality they need.

What is data fabric architecture? The case for data fabric 4 key facts about data fabric architecture Data fabric architecture can modernize and future-proof your data approach Data fabric architecture is a virtual data layer that connects any number of external systems together to provide unified access and a complete, 360-degree view of an organization’s data. Whether your data lives in legacy systems or multi-cloud environments, a data fabric can connect these systems together for a unified view.

According to Statista, the global number of software developers is increasing significantly and is projected to reach 28.7 million by 2024. The main reason for this growth is the rising demand for skilled technocrats to address the needs of software product engineering in building new-age digital experiences. However, the highly competitive software product engineering demands more than skilled technocrats - it needs the right strategy.y.