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

Enabling Agility and Compliance in Oracle Environments Through Quality Assurance

In today’s fast-evolving Oracle Cloud environments, organizations must strike a balance between agility and compliance. While agility calls for rapid adoption of Oracle Cloud updates, evolving business processes, and dynamic integrations, compliance demands strict adherence to organizational policies, governance standards, and regulatory requirements. Quality Assurance (QA) bridges this divide—enabling innovation while managing risk.

Maintaining Auto-Generative API Tests: Need Of De-Duplicate Tests

In today’s fast-paced development environment, automatically generating tests has become a necessity. Tools leveraging AI, manual interventions, and live environment captures facilitate this process. For instance, k6 focuses on load testing, generating automated tests with minimal maintenance. On the other hand, AI generative tools like GitHub Copilot, Bard, and ChatGPT can produce many tests, though often with redundancy.

How to Automate Website Testing? A Practical Guide

Website testing ensures your site works as intended for every visitor, on every device, and under every condition. From login flows to shopping carts, it's what protects user experience and business outcomes. But manual testing alone can’t keep up with the pace of modern web development. That’s where automated website testing comes in. It speeds up releases, improves coverage, and gives teams the confidence to ship often, without breaking things.

MCPs, Agents and the Future of Software Testing with Angie Jones

In this LIVE episode of Test Case Scenario, host Jason Baum, along with co-hosts Marcus Merrell and Evelyn Coleman, engages in a compelling conversation with Angie Jones, Global Vice President of Developer Relations, Block, Inc. They delve into the transformative impact of agentic AI and Model Context Protocols (MCPs) on software development and testing.

Sauce Labs Community Office Hours: Whose Error Is It, Anyway?

Sauce Labs Community Office Hours: Whose Error Is It, Anyway? Not all test errors mean something is broken on Sauce Labs—in fact, most can be fixed by the user. In this Sauce Labs Community Office Hours session, we’ll walk through the most common test errors flagged in Sauce Labs and explain how to avoid or resolve them. Whether you’re new to the platform or looking to sharpen your debugging skills, this session will help you run more reliable tests with fewer surprises.

Automotive Industry Trends 2025: AI in Automotive Software Development

Since the first vehicles were sold to customers, automakers have competed to deliver the newest features and the greatest benefits to the driving experience. Today, that competition is less about shaping a car’s physical characteristics and more about making cars smarter and more connected to the world around them. With thousands of car models and trim levels available worldwide, there is a fierce need to find new ways to stand out from the competition.

How to Automate Front End Testing? A Practical Guide

Front-end testing ensures your application looks and behaves as users expect on every device, browser, and interaction. Whether it's clicking a button, filling a form, or navigating pages, front-end tests validate what users actually experience. But manual front-end testing slows teams down. As the interface evolves, so do the tests, and without automation, keeping up is nearly impossible.

End-to-End Testing With an AI That Thinks Like a Tester and Learns From Users - Meet TrueTest

During our recent webinar Quality Horizon 2025, the virtual room buzzed with energy, filled with insightful questions that pushed our thinking forward. But one particular query truly struck a chord, a question that elegantly highlighted a core challenge in AI-driven testing: The observation was spot on. It perfectly captured a critical limitation we’ve seen across the current AI testing landscape.

5 common challenges in Data-Driven Testing and how to solve them

Nowadays, data-driven testing has become a critical approach for improving test coverage and ensuring software reliability. By executing test cases with multiple sets of data, teams can validate application behavior under various conditions without manually creating numerous test scripts. This enhances efficiency and uncovers defects that might otherwise go unnoticed in static test scenarios. However, data-driven testing also comes with challenges.