Category: GenQE – AI Assisted Testing
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Hybrid Testing: Combining Manual and Automated Testing
In the dynamic world of software development, the pressure to release high-quality applications quickly is higher than ever. Agile methodologies, CI/CD pipelines, and shifting user demands have pushed quality assurance (QA) to evolve beyond traditional approaches. One of the most effective responses to this demand is Hybrid Testing — a strategy that combines both manual and automated…
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Neural Networks: Benefits in Software Testing
In today’s rapidly evolving technological landscape, software testing has become more crucial than ever. With increasing software complexity, manual testing methods often fall short in speed, coverage, and accuracy. This is where Artificial Intelligence (AI), particularly Neural Networks, steps in to enhance testing efficiency. One AI-powered tool making notable strides in this area is Genqe, which integrates…
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Decision Table in Software Testing: A Comprehensive Guide
In the world of software testing, making decisions based on different input conditions and their corresponding outcomes is a fundamental task. One of the most effective ways to visualize this logic is through a Decision Table. Often referred to as a cause-effect table, it helps testers identify and cover various test scenarios by organizing conditions…
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Fuzz Testing: An In-Depth Guide
Introduction In the world of software development, vulnerabilities and bugs are inevitable. As systems grow more complex and interact with a wider array of data sources and users, ensuring their reliability and security becomes more challenging. One powerful technique that has emerged as a standard for identifying unknown vulnerabilities is Fuzz Testing, also known simply as fuzzing.…
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Breadth Testing: A Comprehensive Overview
Introduction In the realm of software testing, ensuring that an application performs as expected across all its functional areas is crucial. Among the many approaches used to validate software systems, Breadth Testing holds a unique place. As the name suggests, breadth testing focuses on covering a wide range of functionalities at a high level rather than diving…
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Mobile Test Automation with Genqe: A Strategic Guide
In today’s fast-paced digital world, mobile applications are the lifeblood of user engagement and brand interaction. With the proliferation of devices, operating systems, and user expectations, mobile application testing has become increasingly complex. Businesses can no longer afford the high costs of manual testing or the inconsistencies it introduces. Enter Genqe, a modern solution redefining mobile…
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Cross-browser Testing: Test Against Every Browser with Genqe
What is Cross-browser Testing? In today’s diverse digital landscape, users access websites and applications through an ever-expanding range of devices, operating systems, and browsers. From Chrome on Android tablets to Safari on iPhones, and from Firefox on Linux to Edge on Windows desktops — your users can come from virtually any environment. Cross-browser testing is the process…
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What is Performance Testing: Types and Examples
What is Performance Testing? Performance testing is a non-functional type of software testing that focuses on how a system performs under specific workloads. Rather than identifying defects in functionality, performance testing seeks to assess stability, responsiveness, speed, scalability, and resource usage of software applications. Its core purpose is to ensure that an application meets the…
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What is Bebugging in Software Testing?
Software testing plays a pivotal role in ensuring the reliability, functionality, and security of applications. Among the many techniques employed in testing, bebugging is a fascinating and intentional approach to quality assurance that stands out due to its unique methodology. Unlike traditional methods that only aim to find existing bugs, bebugging involves intentionally inserting known bugs into the software…
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Chatbot Testing Using AI — How-To Guide
In today’s digital-first world, chatbots are not just customer support tools — they are brand ambassadors, sales assistants, and key user engagement channels. With businesses increasingly investing in conversational AI, ensuring that chatbots function flawlessly is paramount. However, testing a chatbot isn’t as straightforward as testing traditional software applications. It involves understanding human language, handling…