Systems | Development | Analytics | API | Testing

AI is becoming a crucial part of how we build software. From recommending products to helping businesses predict what their customers might need, AI is changing how we think about building and using apps and software’s. The wide variety of libraries and frameworks available in the Java ecosystem will bring developers powerful, specific tools for creating AI applications that enable a variety of subjects, including machine learning and natural language processing.

UI testing services can help teams ship code faster while ensuring no bugs immediately obvious to users make it into production. However, many testing services can’t deliver these benefits for various reasons (which we’ll discuss in more detail below), the main one being that their automated tests don’t validate an application’s UI directly, like how a real-life user would by clicking buttons, pages, form fields, and other UI elements.

For years, the tech world has been captivated by the sheer scale of Artificial Intelligence. Headlines trumpet models boasting trillions of parameters, hinting at a future where massive AI effortlessly solves our most complex challenges. Giants like GPT-4 and Gemini Ultra, with their vast architectures, have set the benchmark. Yet, in the specialized arena of software quality assurance, a fascinating counter-narrative is emerging: sometimes, smaller is indeed better.

The EU AI Act is a new law changing how organisations develop and deploy AI-powered solutions worldwide. Complying with it is a chance for organisations to stand out and build trust with customers through responsible AI use — all while continuing to innovate. As predicted by McKinsey and others back in 2023, AI (specifically generative AI) has become a key part of daily business operations across many industries.

Mock data is the backbone of modern software development and testing. It allows developers to simulate real-world scenarios without relying on production data, ensuring security, efficiency, and reliability. Whether you’re testing APIs, building UIs, or stress-testing databases, mock data helps you isolate components, accelerate development, and catch bugs early.

Nowadays, efficient and integrated testing tools are essential for delivering quality quickly. Forrester's 2025 Total Economic Impact of Xray report illuminates how Xray helps organizations streamline testing processes, improve collaboration, and gain significant cost savings.

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.