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

How to Test AI Agents: A Step-by-Step Evaluation Guide

Testing an AI agent means validating more than final outputs — it means auditing every intermediate tool call, reasoning step, and context decision the agent makes across its full execution trace. Unlike traditional software testing, where passing means the right function returned the right value, agent testing must verify that the correct sequence of decisions produced a reliable outcome for a non-deterministic system.

No-Code Test Automation with AI: A Guide for Non-Technical Teams

There's a quiet frustration that lives inside most QA teams, and almost nobody talks about it out loud. You know your product better than anyone. You can walk through a customer journey in your sleep. You spot a broken flow in seconds just by using the app the way a real user would. But the moment someone says "can you just automate that test?" the conversation shifts to a language you never had to learn. Selenium. Locators. Frameworks. Script maintenance. XPath. Java.

Instant Java Client SDK, no spec required!

Learn how to generate a client SDK for a production service when you have no documentation, no OpenAPI spec, and no remaining team knowledge of the original Ruby code. This demo shows you how to capture real production data from a running app and transform it into a functional Java client library in minutes. Visit proxymock.io OR speedscale.com to learn more.

SmartBear at Atlassian Team '26: A Recap of What's New with AI and Rovo

What did Atlassian Team ’26 reveal about the future of software quality and AI-powered delivery? In this recap from the event floor inside the Anaheim Convention Center, SmartBear shares key themes from the event, including Atlassian Rovo, the Teamwork Graph, AI-driven workflows, and how QA teams are adapting to faster, AI-assisted software delivery inside Jira. See quick highlights from the event floor, SmartBear’s latest Zephyr innovations, and how conversational AI and quality intelligence are becoming part of the modern software delivery workflow.

Test Execution & Defect Reporting in qTest Manager | Full Walkthrough

See exactly how QA testers execute manual test cases and report defects directly from qTest Manager—all in one seamless workflow. In this demo walkthrough, you'll see: Test Execution View – Navigate test suites, review test run properties, and launch execution via TestPad Step-by-Step Execution – Walk through individual test steps, log actual results, and mark steps as Passed, Failed, Blocked, or Skipped in real time.

qTest Manager Explained: Test Plans to Execution Reports in less than 3 minutes

Get a quick walkthrough of qTest Manager by Tricentis—the test management platform built for modern QA teams and developers. In this video, you'll see how qTest Manager is structured around four core components: Test Plan – Set up and organize your projects with timelines, releases, and version tracking Requirements – Manage and track requirements directly within your QA workflow Test Design – Build and organize your test case library.

ROI of AI Test Automation: A Calculation Framework for QA Leaders

Every QA leader has faced the same conversation. Leadership asks: "What are we getting for our automation investment?" And the honest answer is often some version of "we're faster than we used to be" without hard numbers to back it up. That gap between intuition and evidence is where automation programs get defunded. Not because they are not delivering value, but because the value was never quantified in terms finance teams understand.

SAP Sapphire 2026 highlights: Quality for the "Autonomous Enterprise"

The 2027 S/4HANA deadline still looms large in the minds of SAP customers, but at this year’s SAP Sapphire event, SAP worked to move the conversation beyond cloud migration alone. Instead, they introduced a broader redefinition of what it means to be an “Autonomous Enterprise.” At the center of this new Autonomous Enterprise strategy is agentic AI. SAP envisions the future enterprise as one that can leverage its business data to power agents across its ERP applications.