Category: GenQE – AI Assisted Testing

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…

In the ever-evolving landscape of software development, two critical processes ensure the delivery of reliable and efficient software: testing and debugging. While they often go hand-in-hand, each plays a distinct role in the Software Development Life Cycle (SDLC). Understanding their differences, objectives, and applications can lead to smoother development and higher-quality outcomes. Testing Definition Testing…

In the fast-paced world of modern software development, delivering high-quality software quickly is more critical than ever. With users expecting flawless digital experiences and businesses pushing for faster release cycles, testing has evolved from a backend, manual process into a strategic pillar of software delivery. This evolution has given rise to automated testing frameworks, which are…

In today’s highly competitive software landscape, automated testing has become an indispensable part of the software development lifecycle. As organizations strive for faster release cycles and higher software quality, the demands placed on testing infrastructure continue to grow. This evolution brings with it a set of formidable challenges, particularly in the area of test resource expansion.…

In the evolving realm of software development, quality engineering (QE) has emerged as a discipline that extends beyond traditional quality assurance (QA). Quality engineering integrates development, testing, and operational practices to ensure that products not only meet functional requirements but also deliver a seamless user experience across a broad range of scenarios. A cornerstone of effective QE…

Introduction In an era marked by constant innovation, businesses are increasingly embracing digital transformation to stay competitive, deliver enhanced customer experiences, and increase operational efficiency. However, digital transformation is not just about integrating new technologies — it is a profound shift in mindset, culture, processes, and customer engagement. At the foundation of this shift lies…

What is End-to-End Testing? End-to-End (E2E) testing is a comprehensive approach that validates the entire software application flow, from the user’s interaction with the interface to the backend systems and databases. It ensures that all integrated components function as expected, simulating real-world scenarios to verify that the system meets business requirements and delivers a seamless…

In an increasingly interconnected world powered by APIs, the performance of your backend systems can no longer be treated as an afterthought. As organizations strive to meet the demands of scale, user expectations, and real-time digital experiences, performance testing becomes not just valuable — but essential. That’s why at Genqe.ai, we’ve taken a bold step: we’ve…