Author: Anil Polywal
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Mastering Bug Reporting in Manual Testing
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…
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Transitioning from Manual to Automated Testing using Genqe: A Step-by-Step Guide
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…
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Top 10 Challenges in Automation Testing and Their Solutions (with Genqe.ai)
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…
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5 Advantages of Autonomous Testing
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,…
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AI Features Testing: A Comprehensive Guide to Automation with Genqe.ai
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.…
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Cognitive Computing in Test Automation: Revolutionizing Quality Assurance with Genqe.ai
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…
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Mastering Bug Reporting in Manual Testing
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…
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How to Test a New Feature: Automation or Manually?
In the fast-evolving world of software development, testing new features efficiently is essential to delivering high-quality user experiences. Whether it’s a minor user interface enhancement or a complex business logic upgrade, how you test it — manually or through automation — can significantly influence release speed and product reliability. Manual testing allows room for creativity…
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Top 10 Mobile Testing Tools for Fast, Reliable QA
Mobile app quality has become the defining factor for user retention and brand reputation. With increasing device fragmentation, OS versions, and rapid release cycles, mobile app testing is no longer optional — it’s critical. Automating mobile tests helps reduce release times, improve coverage, and enhance confidence. In this article, we explore the top 10 mobile testing…
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Why Do We Need AI in Software Test Automation?
As software development continues to grow in complexity, the role of testing becomes more critical than ever. Applications are now expected to work flawlessly across multiple devices, operating systems, and user conditions. At the same time, development cycles are shorter, release frequencies are higher, and customer expectations for quality are relentless. Traditional testing approaches, even…