GenQE-AI Based Quality Engineering

Author: Anil Polywal

  • Exploring New Horizons in Software Testing: Discover More Ways to Test

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    Anil Polywal

    In the rapidly evolving world of software development, testing remains a cornerstone for ensuring quality and reliability. With the advent of Agile, DevOps, and Continuous Integration/Continuous Deployment (CI/CD) practices, the demand for innovative testing strategies has never been higher. As developers race to deliver features faster, the challenge lies in maintaining high-quality standards without compromising…

  • The Transformative Benefits of Software Testing: A Comprehensive Exploration

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    Anil Polywal

    In an era where software applications are the backbone of many industries, ensuring their quality and reliability is paramount. Yet, achieving this can be a formidable challenge. Software testing, a crucial phase in the development lifecycle, often determines the success of an application. How do you ensure that your software meets the rigorous demands of…

  • The Future of Software Testing: Navigating Complexity with Precision

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    Anil Polywal

    In the ever-evolving world of software development, ensuring the quality and reliability of applications is more critical than ever. As businesses increasingly rely on technology to drive growth and innovation, the pressure to deliver seamless and error-free software has never been higher. Yet, traditional software testing methods often fall short in addressing the complexities of…

  • Data Migration Testing: A Complete Guide

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    Anil Polywal
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    In today’s data-driven world, the need for accurate and seamless data movement from one system to another is more critical than ever. Whether it’s upgrading legacy systems, consolidating databases, or transitioning to cloud platforms, data migration is a complex yet essential process. At the heart of this lies Data Migration Testing — a vital quality assurance practice…

  • Accelerate Your Manual Testing with Multi-Device Testing

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    Anil Polywal
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    In today’s digital landscape, delivering seamless, bug-free experiences across a wide range of devices is not just an advantage—it’s a necessity. As businesses expand their digital footprints, ensuring application functionality across devices, screen sizes, and operating systems has become a critical aspect of software quality assurance. Manual testing remains a vital part of this process,…

  • Reliability Testing — A Complete Guide

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    Anil Polywal
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    In an increasingly digital world where software and systems underpin nearly every aspect of modern life, the demand for dependable, consistent, and stable systems has never been greater. Whether in healthcare, finance, transportation, or consumer electronics, stakeholders expect high levels of system performance. At the heart of this expectation lies Reliability Testing — a crucial discipline within…

  • Mobile First Design Testing – How to Guide

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    Anil Polywal
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    What is Mobile First Design? Mobile First Design is a design strategy that prioritizes the mobile user experience by starting the design process with mobile devices in mind before scaling up to larger screens like tablets and desktops. This approach aligns with the principle of progressive enhancement, where the core functionalities are built for mobile…

  • How, When, and Why Top QA Engineers Use AI in Testing

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    Anil Polywal
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    In today’s fast-paced software development world, Quality Assurance (QA) is no longer just about manual testing or automated scripts running predefined test cases. The evolution of software complexity and user expectations demands a more intelligent, adaptive approach. That’s where artificial intelligence (AI) is making its mark — especially in the hands of top QA engineers.…

  • AI Assistants vs. AI Agents: Testing Strategies and Challenges

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    Anil Polywal
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    Introduction As artificial intelligence (AI) continues to evolve, two dominant paradigms have emerged in AI-driven automation: AI Assistants and AI Agents. While both aim to enhance productivity and decision-making, they differ fundamentally in functionality, autonomy, and complexity. Testing these AI systems requires distinct approaches due to their unique behaviors and operational scopes. This article explores the differences between…

  • Images Testing Using AI — How-To Guide

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    Anil Polywal
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    Introduction As digital applications become more visually complex, ensuring the accuracy and consistency of images across different platforms is critical. Traditional automation tools for image testing have limitations in handling dynamic content, visual variations, and contextual validations. AI-powered image testing offers a smarter approach by leveraging machine learning and computer vision to improve accuracy, efficiency,…