Flaky tests—those that pass or fail unpredictably—are the bane of any automation framework. They can erode confidence in the test suite, slow down development, and mask real issues. Addressing flaky tests requires a systematic approach to identify their causes, diagnose the problem, and implement effective solutions. In this guide, I’ll walk you through how to…

How to Perform Risk-Based Testing In the world of software testing, resources—time, budget, and effort—are often limited. This means we can’t test every feature exhaustively. Risk-Based Testing (RBT) helps us prioritize testing based on the likelihood of failure and the impact of failure for different software components. By focusing on the highest-risk areas, RBT ensures…

Exploratory testing is a powerful technique in a QA engineer’s toolkit. Unlike scripted testing, where tests are pre-planned and follow specific steps, exploratory testing encourages testers to investigate an application freely, discover defects, and improve overall software quality through their intuition and experience. In this guide, I’ll break down the essentials of performing exploratory testing…

In the world of software testing, metrics like test coverage, defect rates, and test pass rates are often treated as the gold standard for measuring quality. Teams track these numbers meticulously, believing that they provide a clear picture of their software’s health and testing effectiveness. But are these test metrics really providing valuable insights, or…

In the world of Agile software development, roles have always been dynamic, and the traditional boundaries between developers, testers, and other team members have become increasingly blurred. One of the most debated questions in Agile environments is whether quality assurance (QA) should remain the responsibility of dedicated QA professionals or if developers should also shoulder…

As artificial intelligence (AI) and machine learning (ML) technologies continue to advance at a rapid pace, industries across the board are facing a wave of automation that promises to reshape how work is done. One of the areas most affected by this change is software development, where AI-driven tools are increasingly being used for testing…