Author: Anil Polywal

Test automation is a critical component of modern software development, enabling teams to deliver high-quality applications faster. However, to maximize the effectiveness of test automation, it’s essential to measure the right metrics. These metrics provide insights into the efficiency, reliability, and ROI of your automation efforts. Below, we explore the big-picture questions to answer and the must-have test…

Mobile test automation is often perceived as a daunting and complex task. With a diverse range of devices, operating systems, and network conditions, the challenges can quickly pile up. But does it really have to be this hard? In this guide, we’ll explore why mobile test automation is harder than it needs to be and…

Mobile app testing is a critical component of software development, ensuring that applications function seamlessly across a wide range of devices, operating systems, and screen sizes. With the increasing complexity of mobile ecosystems, traditional testing methods often fall short. Enter AI-powered testing — a game-changer that revolutionizes mobile app testing by combining automation, visual AI,…

Ecommerce applications are complex, dynamic, and user-centric, making testing a critical yet challenging task. With the rise of AI-powered testing tools, organizations can now address these challenges more effectively and efficiently. This guide explores how AI can revolutionize ecommerce application testing, from managing complexity to real-world implementation. Step 1: Addressing the Core Challenges in Ecommerce…

Visual testing is a critical aspect of software quality assurance that ensures the user interface (UI) of an application appears and functions as intended across different devices, browsers, and screen sizes. This article explores what visual testing is, why it’s important, and how AI-powered tools like Genqe.ai can revolutionize the process. What is Meant By Visual Testing?…

Generative AI systems, such as large language models (LLMs) and image generators, are transforming industries with their ability to create human-like content. However, these systems also introduce unique challenges in terms of testing, security, and ethical considerations. This guide explores the fundamentals of testing generative AI systems, the role of red teaming, and how to…

The testing and quality engineering landscape is evolving rapidly, driven by advancements in AI, the growing importance of mobile testing, and the widespread adoption of test automation. As we look ahead to 2025, several key trends are set to dominate the industry. This article explores these trends and how they will shape the future of…

Accessibility testing ensures that mobile apps are usable by everyone, including people with disabilities. With over 1 billion people worldwide living with some form of disability, accessibility is not just a legal requirement but also a moral and business imperative. This article explores what accessibility testing is, why it’s important, and how Genqe.ai can help streamline the process. We’ll…

In software development, testing is a critical process to ensure that applications meet quality standards and function as intended. Two key types of testing—functional testing and regression testing—serve distinct purposes but are often confused. This article explores the differences between functional and regression testing, how to perform each, and how Genqe.ai can streamline both processes to deliver…

As the demand for faster and more efficient software development grows, chatbots and virtual assistants are emerging as powerful tools for test automation. These AI-driven technologies can streamline testing processes, reduce manual effort, and improve overall productivity. This article explores the differences between chatbots and virtual assistants, their roles in test automation, and how Genqe.ai can enhance…