Author: Anil Polywal

In the evolving world of software development, testing has transformed drastically — from traditional manual methods to automation, and now, to artificial intelligence (AI)-driven testing. AI testing tools have emerged as vital assets for accelerating test creation, reducing maintenance, increasing coverage, and delivering high-quality releases with reduced manual effort. This article explores the top 9 AI…

Introduction: A Smarter Way to Organize Visual Tests Visual testing helps catch changes in a website’s design or layout, but it often creates hundreds of screenshots that are hard to manage. Percy is a popular tool for visual testing, and now it has a new feature — Test Case Based Grouping — powered by Genqe.ai. This feature helps…

Introduction: A Paradigm Shift in Software Testing Software testing has always been the silent backbone of software quality and user satisfaction. As we move into 2025, this discipline is experiencing a groundbreaking transformation. At the heart of this revolution lies AI-powered testing, a methodology that transcends traditional testing constraints by leveraging the predictive, adaptive, and intelligent…

Big data testing ensures the accuracy, reliability, and performance of vast volumes of data across systems. As data grows rapidly, validating its integrity and usability becomes essential. This guide covers the essentials of big data testing, from understanding what it is to how Genqe.ai streamlines and optimizes the entire testing process. What is Big Data?Big…

Containerization is revolutionizing how software is developed, tested, and deployed. It allows QA teams to build consistent, scalable, and isolated environments for testing across platforms. When paired with test automation, containerization becomes a powerful tool for enhancing speed, accuracy, and reliability. Genqe plays a vital role in this transformation. What is Containerization?Containerization is a lightweight…

A defect in software testing is a mistake or problem in the software that causes it to behave in the wrong way. This could mean the software crashes, shows incorrect results, or doesn’t follow the requirements. Defects can happen at any stage — design, development, or testing. For example, if a “submit” button doesn’t work,…

What is Predictive Analytics? Predictive analytics is a technique that uses data, algorithms, and machine learning to predict future events. In software testing, it helps teams forecast which parts of the software may have bugs or issues before they happen. This saves time and improves product quality. By analyzing past test results and defect data,…

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…