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The latest News and Information on Software Testing and related technologies.

How to Perform End-to-End Testing with Playwright

You know the feeling, you push a new feature, and your tests should catch any issues. But instead, they fail inconsistently, slow down your pipeline, or worse… pass when they shouldn’t. End-to-end testing is always a risk. That's precisely the reason why more teams are turning to end-to-end testing with Playwright. Unlike clunky legacy frameworks, the Playwright testing framework was built for speed, reliability, and cross-browser accuracy all out of the box.

Strategies to transform mobile testing cycles | Suman Bala | TTTribeCast Webinar

In today's fast-paced mobile app development environment, lengthy testing cycles can severely impact time-to-market and competitive advantage. This session reveals proven strategies that successfully reduced regression testing time from two weeks to just one day, transforming the entire development lifecycle.

Sauce Labs Community Office Hours: Catch UI Bugs Before They Ship - Visual Testing

Office Hours: Catch UI Bugs Before They Ship - Visual Testing Wondering how to catch visual bugs before your users do? In this Sauce Labs Open Office Hours session, we’ll show you how to integrate visual testing into your automation strategy to detect unintended UI changes early. Learn how Sauce Visual works, how to manage visual baselines effectively, and see it all in action with a live demo.

Defect Management In Software Testing: Process, Tools, And Best Practices

Delivering a high quality product is a must in the software development industry. Functionality, performance and user satisfaction can all be severely impacted by defects, also known as bugs or issues. Defect Management becomes crucial at this point. In this blog we’ll discuss the definition of defects, the importance of properly managing them, and how a systematic Defect Management Process (DMP) guarantees software testing quality and dependability.

What Is Spiral Model In Software Engineering?

Would you believe me if I say there is a development methodology that considers changing requirements and technical risks as part of the process instead of obstacles to be overcome? Sounds crazy, right? That’s exactly what I thought about the Spiral Model until I took a closer look. I’m not saying it’s perfect for every project or that we should all use it. But for certain types of projects, the messy, uncertain, high-stakes ones, it may be just what you need!

From Flaky to Reliable: How QMetry Keeps Your Pipeline Clean

Not every failure is a bug and not every bug is what it seems. Sometimes, a test fails without warning. No code changes, no environment issues, just a red mark where there should be green. You rerun it, and it passes. These are flaky tests. And they do more than create noise. They drain team time, stall releases, and make it harder to trust automation at all. Left unchecked, they quietly become one of the most expensive problems in testing.

Why MCP is a major leap in the evolution of AI-driven software testing

Let’s say you’re renovating a house. It’s a big project, and you’ll need a lot of planning, expertise, and equipment. Now imagine you live in a world where the hammers you bought at one store don’t match up with the nails you bought at another, and certain wrenches wouldn’t work on anything but the parts they came with. What a pain, right?

We Stayed Up When AWS Went Down

Amazon Web Services (AWS) had a well-documented failure of the S3 service in its US East region this week. The knock-on effects of the S3 outage took out many of Amazon’s other services and caused serious and long-lasting outages for many high-profile services including Quora, Trello, GitLab, and many others. Overall Amazon provides an outstanding set of services, and as anyone knows these things happen, the key is to architect your solution so that it can tolerate these kinds of failures.

What is an API first approach?

APIs already account for 71% of all internet traffic, but here's what most companies are missing: AI is about to become the biggest API consumer ever. As generative AI transforms how we interact with software, agentic workflows will perform automated, API-heavy interactions on our behalf. Companies that embrace an API-first approach now will dominate tomorrow's AI economy. In this video Frank Kilcommins, Principal API Technical Evangelist at SmartBear, explains what it means for a software development organization to be API-first.