Category: GenQE – AI Assisted Testing

In today’s digitally-driven world, businesses operate across multiple platforms to ensure broad user engagement and seamless experiences. Among these platforms, web and mobile applications dominate the landscape, each offering distinct functionalities and user experiences. To ensure the success of any digital application, rigorous testing is imperative. However, testing a mobile app significantly differs from testing…

In today’s data-driven world, the need for accurate and seamless data movement from one system to another is more critical than ever. Whether it’s upgrading legacy systems, consolidating databases, or transitioning to cloud platforms, data migration is a complex yet essential process. At the heart of this lies Data Migration Testing — a vital quality assurance practice…

In today’s digital landscape, delivering seamless, bug-free experiences across a wide range of devices is not just an advantage—it’s a necessity. As businesses expand their digital footprints, ensuring application functionality across devices, screen sizes, and operating systems has become a critical aspect of software quality assurance. Manual testing remains a vital part of this process,…

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…