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

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.

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.

Quality gaps cost organizations millions, report finds

Automated testing is status quo for a majority of software delivery teams today, yet two-thirds of teams say they deploy code without completing all the necessary testing – and that it costs them anywhere between $500,000 and $5M USD annually. That’s according to a recent survey Tricentis commissioned with Censuswide.

AI-Assisted Code Reviews in P4 Code Review (Helix Swarm)

Explore AI-Assisted Code Reviews in P4 Code Review Join Perforce Senior Solutions Engineer, Jackie Garcia as she walks you through the latest game-changing feature in P4 Code Review (formerly Helix Swarm): AI-Assisted Code Reviews. This powerful feature takes your code reviews to the next level by offering intelligent explanations, actionable recommendations, multilingual support, and easy integration with any AI model.

The AI-Driven Future of Test Automation

AI is transforming software testing by introducing intelligent automation techniques. Unlike traditional scripts that follow static instructions, AI-driven testing uses machine learning, computer vision, and NLP to adapt and make data-driven decisions during testing. This shift offers significant advantages. AI can rapidly analyze large datasets (requirements, code changes, past failures) to identify high-risk areas and prioritize testing efforts.

How to Select Test Cases for Automation: A Practical Guide

Test automation is essential if you want to move fast without breaking things. But here’s the hard truth: not every test is worth automating. And trying to automate everything is how teams burn time, introduce flakiness, and end up maintaining tests that add zero value. So how do you know what test cases to automate? That’s what this guide is for.

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.