testautomation

šŸ¦æTest Automation Metrics Every QA Professional Should Know (Part 3)šŸ¦æ

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Many teams track automation with a single number: ā€œHow many tests are automated?ā€Thatā€™s a startā€”but it doesnā€™t answer the question leadership and delivery teams care about: Is automation actually protecting us from regressions and speeding up delivery? In this article, weā€™ll cover three practical test automation metrics that measure real outcomes: 1) Automated Regression Testing …

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Test Automation Best Practices in Action ( Part 5)

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Core Framework & Test Design ā€“ Random Data Generation with faker.js So far, weā€™ve built a beautifully abstracted framework using the Page Object Model, made our tests readable with BDD, destroyed flakiness by dropping static waits, and scaled our coverage using Data-Driven Testing. Today, we are tackling the data itself. One of the most subtle …

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Test Automation Best Practices in Action ( Part 4)

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Core Framework & Test Design ā€“ Data-Driven Testing So far, weā€™ve built a robust architecture with the Page Object Model, bridged the communication gap using BDD, and eliminated flaky tests by ditching static waits. Today, we are focusing on keeping our codebase pristine, scalable, and incredibly DRY (Don’t Repeat Yourself). Over my 15 years in …

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Test Automation Best Practices in Action ( Part 3)

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Core Framework & Test Design ā€“ Avoiding Static Waits with waitForResponse. In our previous posts, we built a beautiful, maintainable architecture using the Page Object Model and made our tests readable for everyone using BDD. Today, we are declaring war on the single biggest enemy of automated testing: Flakiness. If you’ve ever written a test …

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Test Automation Best Practices in Action ( Part 2)

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Core Framework & Test Design ā€“ Behavior-Driven Development (BDD) with Cucumber. In our last post, we conquered the Page Object Model (POM) and cleaned up our test architecture. But letā€™s face a hard truth: no matter how beautiful your TypeScript code is, your Product Managers and Business Analysts probably aren’t going to read it. When …

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šŸ¦¾Test Automation Metrics Every QA Professional Should Know (Part 2)šŸ¦¾

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Most teams measure automation by how many tests theyā€™ve written.But the real question is different: Is automation giving us fast, trustworthy feedbackā€”and are we acting on it? A large automated suite can still slow delivery, generate noise, and bury real defects if it isnā€™t managed with the right metrics.Here are three metrics that give a …

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šŸ¤–Test Automation Metrics Every QA Professional Should Know (Part 1)šŸ¤–

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Test automation is supposed to speed up delivery, tighten feedback loops, and improve quality.But thereā€™s a reality many teams face: The suite runsā€¦ but fails for the wrong reasons. Teams spend hours triaging failures that arenā€™t product defects. Environments are unstable, and automation becomes ā€œnoise.ā€ Tests exist, but run too infrequently to prevent regressions. Thatā€™s …

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šŸ›Defect Management Metrics Every QA Professional Should Know (Part 3)šŸ›

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Defect management isnā€™t just ā€œcounting bugs.ā€ Mature QA organizations use defect metrics to detect early risk signals, protect delivery timelines, and improve software quality at the source. In this article, we explore four metrics from the Defect Management area that help teams make better decisions sprint after sprint: New Defects Created per Sprint / Period …

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8 Red Flags šŸš© for QA

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Weā€™ve all been thereā€”that “gut feeling” early in a sprint that things might be going off the rails. As someone whoā€™s spent over a decade in the trenches of software testing, Iā€™ve learned that quality isnā€™t just about finding bugs; itā€™s about reading the room. Sometimes, the environment itself is the biggest bug of all. …

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