Automating tests isn’t a luxury anymore. It’s a necessity.
But here’s the catch: manual test creation is frustratingly slow, error-prone, and simply doesn’t scale for modern, rapidly evolving web applications.
There’s a running joke that a goal is spotted first in the Livesport app before it even happens on the field. But what if it’s more than just a joke?
This is a story of partnership and progress. This is a story about Livesport's testing team, their journey, and how Wopee.io has helped them raise the bar in quality assurance.
Maintaining high standards of quality through effective test automation is not just a task. It’s a strategic investment.
Much like investing in a diversified portfolio, successful test automation requires foresight, disciplined execution, and a commitment to continuous improvement. With the right approach, your web app test automation can be both sustainable and impactful over the long term. Below, we outline 7 key principles to ensure your test automation efforts remain robust and effective as your application evolves.
In the rapidly evolving world of software testing, visual testing has become an increasingly crucial component. This blog post delves into the details of our recent webinar that explores both traditional and autonomous visual testing methods, with a focus on integrating these techniques into automated testing frameworks like Robot Framework.
The need to release high-quality products quickly is more critical than ever. While test automation has greatly improved the efficiency of testing processes, the sheer volume of tests required can still overwhelm even the most streamlined teams. Enter Predictive Test Selection (PTS)—an AI-driven approach designed to optimize and accelerate the testing process by focusing on the areas of your code most likely to fail. In this article, we’ll explore how PTS enhances test automation, ensuring earlier defect detection, reduced testing time, and improved software quality.
Behavior-driven development (BDD) is an effective method for software teams to collaborate. By fostering communication between business and technical personnel, BDD ensures a shared understanding of the problems at hand and promotes the rapid, iterative development of solutions. This article will guide you through the essentials of BDD and demonstrate how to implement it using Robot Framework.
Self-Healing in Test Automation: The Future of Reliable Testing?
Maintaining robust test automation can be a daunting challenge. As applications evolve rapidly, test scripts often break due to changes in the user interface (UI) or application structure. This leads to increased maintenance overhead, false test failures, and reduced confidence in the test suite.
What a ridiculous idea! … or, wait a minute. 🧐 Maybe? 🤔 Maybe it could be possible. 🫣
When I first heard about the idea of saving 50% in software testing costs, I thought it was just another wild dream. But then, I started to think about it. Could it really be possible? What if there are ways to streamline the process, cut unnecessary steps, and still ensure quality? I decided to dig deeper and explore this concept, and here’s what I found. Let me share with you 7 tips that could(?) turn this dream into a reality.
Stop overpaying for visual testing. It doesn’t have to suck.
You’re probably paying too much for visual testing tools that overcomplicate everything. The truth is, visual testing doesn’t have to be this hard. It can be simple, affordable, and — dare we say — even enjoyable. It’s time for a change.
Visual regression testing is essential for ensuring that your web and mobile apps look perfect across browsers and devices. But with so many tools available, how do you choose the best one for your team? Two of the most popular options are Applitools and Wopee.io. Here’s a detailed comparison to help you decide.
In the rapidly evolving landscape of software testing, traditional methods are becoming outdated. Since the inception of software testing in 1979 and test automation in 1985, core ideas have largely remained unchanged despite significant advancements. This article explores the future of software testing, examining the journey from manual to automated and autonomous testing, the benefits and challenges of these advancements, and the opportunities they present for the industry.