Category: GenQE – AI Assisted Testing

As we move deeper into the age of intelligent automation, software testing is undergoing a radical transformation. Artificial Intelligence (AI) is not just a futuristic concept — it’s a powerful enabler in the software development lifecycle today. From test case generation to execution, from bug prediction to risk-based testing, AI has already started redefining how…

Pre-requisites: The Right Test Environment Before initiating mobile app testing, setting up a robust test environment is crucial. This includes configuring device OS versions, screen sizes, RAM, battery levels, and user permission profiles. Real-world testing conditions ensure accurate bug identification and better user experience simulations. The right test environment eliminates inconsistent test results caused by…

In the ever-evolving world of software development, ensuring code quality is paramount. Traditional testing methods, such as unit and integration testing, validate the correctness of code by checking expected outcomes. However, they don’t always guarantee the robustness of test cases themselves. That’s where mutation testing comes in — a powerful technique designed not just to test your…

In software development, even the most brilliantly coded application can falter if bugs are not identified and addressed early. While automated testing has revolutionized how teams validate their code, manual testing continues to play an irreplaceable role — especially when it comes to exploring complex user interfaces, detecting visual inconsistencies, and simulating real-world user behavior. One of…

In today’s fast-paced software development world, speed, accuracy, and agility are more crucial than ever. Manual testing, while still valuable in certain scenarios, is increasingly proving to be a bottleneck — especially when products scale, development cycles shorten, and the demand for quality increases. This has made automated testing not just a luxury, but a necessity. In…

Automation testing is a cornerstone of modern software development. It enables rapid feedback, improved accuracy, and faster release cycles. However, implementing automation isn’t without its hurdles. From script maintenance to tool compatibility and scaling, QA teams encounter various obstacles that can slow down progress and inflate costs. In this article, we explore the top 10 challenges…

In the rapidly evolving world of software development, speed, accuracy, and scalability are paramount. Traditional manual testing methods are no longer sufficient to meet the increasing demands of agile and DevOps pipelines. This is where autonomous testing steps in — a powerful shift in how testing is executed, monitored, and evolved. Driven by AI and machine learning,…

As artificial intelligence (AI) continues to become an integral part of modern applications — from recommendation systems and chatbots to fraud detection and predictive analytics — testing these AI features poses unique challenges. Traditional testing approaches are not sufficient to validate AI functionality, as these systems often operate on probabilities, learning algorithms, and data-driven behavior.…

What is Cognitive Computing? Cognitive computing refers to advanced computing systems that mimic human thought processes in complex situations. At its core, it involves the simulation of human intelligence by machines, particularly systems that can understand natural language, recognize patterns, solve problems, and learn from experience. Cognitive computing combines disciplines like artificial intelligence (AI), machine…

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…