Annemerel Westerhuis What is AI software testing Testing is no longer just about running scripts, analyzing logs or fixing broken locators. It is about understanding why things fail and how to prevent them. That’s where AI software testing comes in. AI in software testing combines automation, data analysis and conversational intelligence to help QA teams test smarter. … Read more
What is test reporting Every release tells a story. But too often, that story gets buried in spreadsheets, dashboards, and disconnected tools. Test reporting was once about documentation, now it’s about direction. In today’s fast-moving software pipelines, test reports no longer serve as static summaries of pass or fail. They’re the heartbeat of your quality … Read more
What is regression testing Every change in software comes with risk. Even the smallest update, a minor UI tweak or a dependency upgrade can trigger unexpected failures in features that once worked perfectly. That’s why regression testing exists. It ensures that new code doesn’t break old functionality. In simple terms, regression testing is the process … Read more
What is AI in QA Artificial intelligence isn’t just changing how we build software, it’s changing how we trust it. In the world of quality assurance, AI in QA is no longer a futuristic concept. It’s a revolution powering faster testing, smarter decisions and continuous delivery without compromise. Traditionally, QA has been about verification and … Read more
What is AI testing AI testing is where automation meets intelligence. In traditional testing, you write scripts, maintain frameworks and analyze endless logs. In AI testing, algorithms learn from your test data, detect patterns and improve themselves over time. It’s not about replacing human testers. It’s about amplifying their impact. AI automates the repetitive, learns … Read more
AI Test Automation: the Future of Software Testing AI test automation combines artificial intelligence with traditional test automation to create intelligent, self-optimizing test processes. By integrating machine learning algorithms and AI techniques into your test workflows, teams can test faster, more accurately, and more effectively than ever before. For test managers, software testers, and QA … Read more
What is a good CI/CD Feedback Loop and why does it often fail? The power of a CI/CD pipeline lies in its feedback. But that feedback must be fast, focused, and reliable. In practice, we often see: Test suites running for hours without clear prioritization False positives distracting developers No insight into what the test … Read more
AI software testing tools are transforming the way software quality is assured. Instead of manual testing or simple automated scripts, AI tools introduce a new generation of intelligent test automation: automation testing that learns, adapts, and predicts. For test managers, QA leads, and development teams, this means not only faster testing, but also smarter testing—based … Read more
What is self-healing Test Automation? Self-healing test automation is a breakthrough in software testing where test scripts automatically adapt themselves when changes occur in the application. Think of a modified button ID or a shifted element in the UI. Where a traditional script fails, a self-healing system recognizes the pattern and adjusts in real time. … Read more
What is AI-Based testing and why is it essential? AI-based testing is more than a technological upgrade: it’s a paradigm shift in quality assurance. Where traditional test strategies rely on static scripts and human input, AI-based testing uses machine learning to recognize patterns, automate test actions, and predict risks. According to Gartner, by 2025 as … Read more
