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QA testers have relied on selectors. Learn more why we are predicting its demise.
A look into the disproportionate advancements in DevOps technologies vs. software testing tools, and how a modern testing solution like Functionize can bridge that gap using AI and ML.
Understand the factors that make scripted test automation slow, and how modern platforms like Functionize prevent testing teams from falling into costly maintenance cycles.
Every application needs localization to maximize their return on investment in new markets. Functionize’s data-driven localization testing can help you do this effectively.
Canary testing lets you validate a new feature by testing it in your live environment. This can show up server-related issues that are missed in testing.
Data-driven testing is increasingly common in test automation. Here, we explore some common scenarios for DDT and explain the impact it has on your testing.
Dark launching means silently launching a new feature. This lets you test the feature with a small subset of users before releasing it widely.
People can access your website from any browser, so it’s critical to do cross-browser testing. Here’s an in-depth look at what it means and how to automate it.
Functionize is a world-leading AI-powered test automation platform. But this is only possible because we collect a vast volume of data. Read on to learn why.
Test debt comes in various forms, but by far the most important one to solve is test maintenance debt. Functionize’s philosophy is that test maintenance shouldn’t really exist.
Software developers can rely on sophisticated tools and methodologies that help them be more productive. But QA is lagging behind and it really shows.
People often believe the most important thing in test automation is creating as many tests as possible. But as we show, this can have unexpected consequences.
AI is here to stay, but should you build your own solution or buy one off the shelf? Here, we look at the pros and cons of building your own AI testing tool
AI lets us deliver the most reliable test automation platform out there. But as we explain, this is only possible because our system learns by making mistakes.
Both Xray and Functionize are designed for modern software development and they also work seamlessly together. Taken together, this will help you speed up testing and delivery.
80 years ago, people were discussing AI, yet it only became reality in the past few years. This was mainly thanks to the power of the cloud as we shall see.
Cloud computing has become ubiquitous in the last decade. But what actually is it, and why is it so transformative? Read on to find out.
History is littered with catastrophic software failures. Often they happened because of poor testing and QA. Learn how bad it can get when your QA fails.
CTOs have a hard job delivering digital transformation. Often, test debt is the blocker. Learn how AI cuts test debt to deliver faster digital transformation.
Jira is great at issue tracking but is it all you need for test management? Here, we show why you need to look beyond Jira for a complete test solution.
QA managers have a tough job. Here, we explain how using an AI-powered test automation tool can transform things for the better.
End-to-end testing is a must for modern applications. Here, we explain why this requires you to create e2e testing tool stacks to achieve the best results.
Testing involves following a set of steps to get a result. But you must understand the intent behind the test. Here, we explain why this is also true for AI.
AI test automation can transform testing for your company. But you might feel worried about your career. Here, we show why you needn’t stress about it.
Serverless computing helps you deliver applications without a conventional backend. But how do your DevOps team test them and ensure they keep working?
Agile allows you to deliver new features faster and more efficiently. Here, we show you how to upgrade your QA to deliver agile test automation.
Selenium remains popular for test automation. However, it hasn’t kept up with modern software development. Here, we give 3 reasons to switch to Functionize.
As a DevOps engineer, you have a tough job ensuring everything works. Here, we see how cloud-first testing can help you save time and avoid nasty surprises.
You want the fastest, smoothest GTM for your new product. But shipping a buggy product isn’t an option. So, you need a cloud-first testing methodology.
Machine learning and AI have made quality assurance more sophisticated. QA leaders need to know what to prioritize and how to empower their teams.
Functionize integrates with a multitude of DevOps tools. This enables organizations to leverage the best DevOps practices and release faster.
Testing is and always will be a highly skilled job. But as we move to a world dominated by AI-powered testing, how do these skills need to change and evolve?
Functionize 5.0 is here! This release brings new features to boost DevOps productivity and overall performance. It also enables new integrations, such as Jira.
Automation and machine learning have made shift-left testing easier. But which adds more value, unit testing or end-to-end testing? Read on to find out more.
DevOps is a critical part of modern software delivery. But how can AI-powered testing help your DevOps engineers deliver the best service possible?
Test debt is a real problem for most QA teams. It eats your capacity and results in less and less productive testing being done as I explain here
Transitioning to a new test framework is a big step for any team. Here, we give you the knowledge you need to successfully transition to AI-powered testing.
