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Top 20 Automation Testing Frameworks In 2025 Features Pros & Best Use Case

Top 20 Automation Testing Frameworks in 2025: Features, Pros & Best Use Cases

  Before any software application is released to the public, it must undergo rigorous testing to ensure it is functional, reliable, secure, and user-friendly. Testing is a critical phase in the Software Development Life Cycle (SDLC) because it identifies defects before they reach end users — saving both cost and reputation damage. While manual testing …

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Data-Driven Testing in Playwright Using JSON, CSV & API Data

  In today’s fast-paced software delivery environment, data-driven testing has become a game-changer for automation engineers. Instead of hardcoding test inputs, testers now rely on dynamic datasets from JSON files, CSV sheets, and APIs to run robust and scalable test cases. If you are enrolled in a Playwright Automation Online Course or exploring a Playwright …

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QA to soc

From Quality Assurance to Cyber Defense: A QA’s Journey into the World of SOC

Introduction: “I Was Just a QA…” You know that moment when you’re closing your sprint, running regression, and a bug slips into production? You feel it — that sinking sense of “I missed something.” I used to think catching bugs was enough. But over time, the bugs changed. They weren’t just UI glitches or broken …

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Selenium Anti-Pattern: What Not to Do in Automation

  Automation testing with Selenium has revolutionized how QA teams validate web applications. It’s powerful, flexible, and widely supported—but like any tool, its success depends on how it’s used. Unfortunately, many testers unknowingly fall into Selenium anti-patterns that reduce efficiency, make scripts harder to maintain, and increase test flakiness. If you’re considering Selenium training in …

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Selenium 4 Capture & Analyze Network Logs with Chrome DevTools Protocol

Selenium 4: Capture & Analyze Network Logs with Chrome DevTools Protocol

Introduction Modern Selenium automation testing goes far beyond just clicking buttons and verifying UI changes. Today’s web applications interact with numerous backend APIs, load third-party scripts, trigger analytics beacons, and manage asynchronous requests — all in the background. While your test might pass visually, a failed API call, a slow-loading resource, or a security vulnerability …

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Emailing TestNG Reports Automatically

Automating TestNG Report Emails: A Step-by-Step Guide

  Introduction  In modern test automation, simply running tests is not enough — rapid communication of results is key. Emailing TestNG reports automatically ensures every stakeholder, from QA engineers to project managers, gets instant insights into test health. Whether you’re monitoring daily regression runs or validating a new release, this automation saves time, prevents oversight, …

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Mastering Map in Java for Automation Testing

Mastering Map in Java for Automation Testing: The Secret Sauce for Smarter Test Scripts

  Introduction  As automation testers, we deal with vast amounts of structured data — form inputs, expected results, configurations, and more. While collections like List and Set are useful, have you ever found yourself struggling to map test data clearly, especially when working with labels and values or field names and inputs?  That’s where the …

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Agentic AI testing matters

Test Data Management for BFSI: From Masking to Agentic AI

  Introduction  Test data is the lifeblood of quality assurance in the BFSI (Banking, Financial Services, and Insurance) sector. In my journey as a QA Manager working across leading investment banking platforms, I’ve faced—and solved—challenges that are unique to highly regulated, data-sensitive domains. This blog shares my real-world experience, explores why traditional approaches fall short, …

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Are You Really Evaluating Your AI Tool for Quality Engineering the Right Way 1

Are You Really Evaluating Your AI Tool for Quality Engineering the Right Way? Discover the Ultimate 25-Point Checklist for 2025 

  AI is revolutionizing Quality Engineering (QE)—but with every platform claiming to be the silver bullet, how do you ensure you’re truly selecting a tool that meets your team’s standards for   accuracy, privacy, integration, and ROI?  Here’s a rigorous, industry-backed guide—complete with an actionable 25-point scorecard—to help you evaluate and select the best-fit AI …

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