Author: Anil Polywal

In the fast-paced world of software development, maintaining test scripts can be a daunting task. Frequent updates to user interfaces (UI) and application logic often lead to broken tests, requiring significant time and effort to fix. Enter self-healing test automation, a revolutionary approach powered by Artificial Intelligence (AI) that enables test scripts to adapt to UI…

Software testing is a critical component of the software development lifecycle, ensuring that applications are functional, reliable, and user-friendly. To achieve effective testing, it’s essential to understand and apply the fundamental principles of software testing. These principles serve as the foundation for designing, executing, and optimizing testing processes. In this article, we’ll explore the 7 key fundamentals…

The landscape of Quality Assurance (QA) testing is undergoing a seismic shift, driven by the rapid advancements in Artificial Intelligence (AI). As we move into 2025, AI agents are poised to become one of the most transformative technologies in QA testing. These intelligent systems are revolutionizing how testing is conducted, making it faster, more efficient,…

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…