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Types of Software Testing Tools: A Complete Guide for QA Teams
Planning

Types of Software Testing Tools: A Complete Guide for QA Teams

Software testing tools are divided into distinct categories: automation, performance, security, API, management, and visual. In this context, traditional tools like Selenium and Cypress require code, constant maintenance, and advanced technical knowledge. So, for QA professionals the right choice depends on the type of application (web, mobile, API), the team’s profile, and CI/CD integration. What

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Complete Roadmap to Becoming a QA Automation Engineer in 2025
Planning

Complete Roadmap to Becoming a QA Automation Engineer in 2025

If you’ve ever heard someone say the tech market is oversaturated, they probably weren’t looking at the software quality space. The U.S. Bureau of Labor Statistics projects 15% growth in job openings for software developers, QA analysts, and testers through 2034, a pace several times faster than the average across all occupations. Globally, the trend

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Flakiness in Automated Testing: Reasons and How to Reduce It
Planning

Flakiness in Automated Testing: Reasons and How to Reduce It

According to Google research, 84% of failures that look like code regressions in CI systems are actually caused by unstable tests, not real bugs. Atlassian estimates that its engineering organization loses more than 150,000 developer hours per year investigating failures generated by flakiness. In this guide, you will understand what flaky tests are, what the

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How to improve communication between QA and development?
Planning

How to improve communication between QA and development?

The bug was right there. Clear, documented, with a screenshot, with step-by-step reproduction. The QA reopened the ticket for the second time. The dev looked into it, tested on their own environment, couldn’t reproduce it. Both are sure they’re right, and neither of them is completely wrong. This scene plays out in virtually every software

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QA Metrics: What to Measure and How to Use Data to Improve
Planning

QA Metrics: What to Measure and How to Use Data to Improve

There’s a situation that repeats itself across many QA teams: dashboards are packed with numbers, reports go out every week, and yet nobody can clearly answer whether the tests are actually working. The data is there, the problem is that nobody really knows what to do with it. QA metrics don’t exist to fill up

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