Category: GenQE – AI Assisted Testing

Bug reporting is a critical pillar of manual testing. It transforms discovered issues into actionable insights for developers. A well-documented bug not only helps resolve defects faster but also improves product quality, saves time, and builds trust between testers and developers. This article explores how to master bug reporting in manual testing and how Genqe.ai empowers testers…

In the fast-evolving world of software development, testing new features efficiently is essential to delivering high-quality user experiences. Whether it’s a minor user interface enhancement or a complex business logic upgrade, how you test it — manually or through automation — can significantly influence release speed and product reliability. Manual testing allows room for creativity…

Mobile app quality has become the defining factor for user retention and brand reputation. With increasing device fragmentation, OS versions, and rapid release cycles, mobile app testing is no longer optional — it’s critical. Automating mobile tests helps reduce release times, improve coverage, and enhance confidence. In this article, we explore the top 10 mobile testing…

As software development continues to grow in complexity, the role of testing becomes more critical than ever. Applications are now expected to work flawlessly across multiple devices, operating systems, and user conditions. At the same time, development cycles are shorter, release frequencies are higher, and customer expectations for quality are relentless. Traditional testing approaches, even…

Introduction Software testing is an essential component of the software development lifecycle. It ensures that the software behaves as intended and is free of bugs, vulnerabilities, and defects. As applications grow more complex and the pace of development accelerates due to Agile and DevOps methodologies, traditional manual testing methods are struggling to keep up. This…

The world of software testing is experiencing a radical transformation with the rise of Generative AI. These tools go beyond traditional automation by using intelligent agents, self-healing mechanisms, and natural language processing to revolutionize how test cases are created, executed, and maintained. Below is a curated list of 10 leading tools in this space, followed by…

Introducing a new feature into any application is both exciting and risky. It brings added value to the product but also opens up the potential for new bugs, system instability, or customer dissatisfaction if not tested properly. Feature testing, therefore, becomes one of the most crucial stages in the software development lifecycle. But the big…

In today’s software development world, the demand for speed and quality is higher than ever. Agile practices, DevOps pipelines, and continuous delivery are pushing teams to test faster and more intelligently. Yet traditional testing approaches often fail to provide adequate risk visibility and optimization strategies. This is where Predictive Analytics steps in as a game-changer for modern Quality Assurance (QA). By…

In an era of increasing software complexity and demand for rapid, high-quality releases, traditional testing methods often struggle to keep up. Enter Cognitive Computing — a new wave of intelligent systems that simulate human thought processes to enhance decision-making. Combined with test automation, cognitive computing is revolutionizing the way organizations validate their applications and deliver seamless user…

Introduction In software testing, ensuring thorough test coverage while minimizing redundancy is a constant challenge. One powerful technique to achieve this is Decision Table Testing—a structured method used to test complex business logic by evaluating different combinations of inputs and their corresponding outcomes. This article explores:✔ What is a Decision Table?✔ Structure of a Decision Table✔…