Category: GenQE – AI Assisted Testing

In an increasingly digital world where software and systems underpin nearly every aspect of modern life, the demand for dependable, consistent, and stable systems has never been greater. Whether in healthcare, finance, transportation, or consumer electronics, stakeholders expect high levels of system performance. At the heart of this expectation lies Reliability Testing — a crucial discipline within…

What is Mobile First Design? Mobile First Design is a design strategy that prioritizes the mobile user experience by starting the design process with mobile devices in mind before scaling up to larger screens like tablets and desktops. This approach aligns with the principle of progressive enhancement, where the core functionalities are built for mobile…

In today’s fast-paced software development world, Quality Assurance (QA) is no longer just about manual testing or automated scripts running predefined test cases. The evolution of software complexity and user expectations demands a more intelligent, adaptive approach. That’s where artificial intelligence (AI) is making its mark — especially in the hands of top QA engineers.…

Introduction As artificial intelligence (AI) continues to evolve, two dominant paradigms have emerged in AI-driven automation: AI Assistants and AI Agents. While both aim to enhance productivity and decision-making, they differ fundamentally in functionality, autonomy, and complexity. Testing these AI systems requires distinct approaches due to their unique behaviors and operational scopes. This article explores the differences between…

Introduction As digital applications become more visually complex, ensuring the accuracy and consistency of images across different platforms is critical. Traditional automation tools for image testing have limitations in handling dynamic content, visual variations, and contextual validations. AI-powered image testing offers a smarter approach by leveraging machine learning and computer vision to improve accuracy, efficiency,…

Forms are a fundamental part of user interaction in web and mobile applications—from sign-ups and contact forms to complex checkout and onboarding workflows. However, testing form filling can be time-consuming and error-prone due to varied input types, dynamic content, and changing validations. This is where AI-powered testing comes into play, automating complex scenarios and reducing…

What Are AI Hallucinations? AI hallucinations occur when an artificial intelligence model generates incorrect, misleading, or entirely fabricated information with high confidence. These errors are particularly common in large language models (LLMs), image generators, and other generative AI systems. Hallucinations can range from minor factual inaccuracies to completely nonsensical outputs, posing risks in applications like…

What is a Neural Network? A neural network is a computational model inspired by the structure and function of the human brain. It consists of interconnected layers of nodes (or “neurons”), where each node processes input data and passes the results to other nodes in the next layer. These networks are particularly effective at recognizing patterns, learning…

In the world of software testing, delivering a defect-free product is every team’s goal. However, it’s common for some defects to slip through the cracks and show up after the software has been released to production. These are called defect leakages, and they play a crucial role in measuring the effectiveness of the software testing process.…

Traditional mobile app testing has often been a complex, time-consuming process. With the proliferation of devices, operating systems, and user behaviors, ensuring consistent app performance across all scenarios has become increasingly challenging. Manual testing and script-based automation struggle to keep pace with rapid development cycles, leading to delayed releases and compromised user experiences. In response…