What's the difference between Agentic AI and LLMs?
In this clip, Angie Jones explains how agentic AI goes beyond language prediction to actually take action — and what that means for the future of software development and testing.
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Modern Software Development For Today's Systems & Applications
The latest News and Information on Software Testing and related technologies.
Top 5 Oracle Cloud Testing Pitfalls (And How to Avoid Them)
Oracle Cloud applications offer powerful capabilities, but testing them effectively is far from plug-and-play. Many organizations stumble into costly pitfalls during implementation due to the complexity of their business processes, gaps in test coverage, and inadequate planning. Based on our extensive experience in Oracle Cloud Testing, here are the top 5 pitfalls we’ve seen – and how you can avoid them.
Mastering Oracle QA: Automation Strategies Across ERP, HCM, and CX
Effective quality assurance in Oracle Cloud demands a structured, module-specific automation strategy. From ERP to HCM and CX, aligning test automation to business functions can accelerate test coverage, improve defect detection, and optimize costs.
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.
TestQuality Named "Tool of the Week" by Ministry of Testing!
We’re excited to share some big news with our community of QA professionals, software testers, and developers: TestQuality has been named "Tool of the Week" by the Ministry of Testing (MoT), one of the most respected communities in the software testing world! You can find the mention featured directly on the Ministry of Testing homepage and a dedicated TestQuality spotlight page: TestQuality on Ministry of Testing.
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.
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.