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Test Documentation is the backbone of a reliable testing process. It shows how you plan testing and how you record results. In this article, you will learn the essentials of Test Documentation, the importance of test documentation for your releases, and the test documentation best practices that raise quality. We keep things simple and useful. You get examples and steps that you can apply today. Let's dive in!

QA has long been seen as the final step before release. A gatekeeper. A checklist item. But today’s product velocity and user expectations have changed the game. QA is no longer a stop sign. When done right, QA shapes outcomes across the business. It helps teams release faster, catch issues earlier, and align quality with customer needs. In this article, we’ll show you: Let’s get started.

The test case review process is how we make sure every test case is clear, correct, and ready to run. We treat it as a simple habit that protects quality before execution. When you follow a strong Test Case Review Process, you reduce rework and raise confidence. You also align teams on what matters and how coverage should look. In this guide, we show you how to review test cases effectively with practical steps and examples. We keep it focused, useful, and easy to apply in your next sprint. Let's dive in!

The longer your test cycles run, the slower your product ships. This is one of the core challenges of modern DevOps. Your CI/CD pipeline is fast until it hits the testing stage. That's where parallel testing comes in. Instead of running tests one by one, you can run them side by side. On multiple environments. Across devices. All at once. The result? Faster builds, quicker feedback, and higher deployment confidence.

July’s release brings significant advancements in mobile testing capabilities, integrations, and user experience enhancements, furthering Katalon's commitment to helping QA teams work smarter and more efficiently. Here is what we delivered in July.

Insurance companies operate in a world where every release carries weight. Policy management system testing must be precise. Legacy system modernization QA must avoid disruptions. And risk-based testing for insurers must cover the most critical business flows without slowing delivery. In this article, you will learn: Let’s get started.

In international QA teams, working across timezones is usually the norm. QA leaders of such teams are expected to coordinate across time zones, tools, and cultures. That makes knowing how to manage a remote QA team a key skill in today’s software development world. When done right, distributed QA teams can deliver faster feedback, better coverage, and 24-hour testing cycles. But without structure, remote testing turns into confusion, missed bugs, and blockers at every stage.

TL;DR: In agentic AI systems, unpredictable behavior, contextual nuance, and subjective judgment make full automation impossible — and that’s not a failure. Human-in-the-Loop (HITL) testing isn’t a step backward; it’s a safety net and learning engine. From reviewing ambiguous outputs to approving high-risk actions, strategic human involvement helps catch what automation misses.

The software testing process is the steps we make to ensure that software works the way it should. It gives us a way to plan, test, and improve software before it reaches users. But what does that process actually look like in real teams? How do we go from planning to bug tracking to final sign-off without getting lost in the details? In this guide, we’ll walk you through the full software QA cycle. You'll learn: Let’s get started.

Agentic AI systems don’t follow scripts — they make decisions. That means your tests can all “pass” while the AI still hallucinates, misfires, or behaves unpredictably. Traditional QA, built for deterministic workflows, simply isn’t enough. Testing these systems is less like checking a vending machine and more like evaluating a junior employee: you’re judging reasoning, not just output.