Defect management is more than counting bugs. Strong QA teams use defect metrics to answer four practical questions: How bad is the problem? (Severity) How urgent is it for the business? (Priority) Where are defects being discovered? (Environment) Why do defects happen in the first place? (Root cause) In this lesson, we cover four essential …
🐞Defect Management Metrics Every QA Professional Should Know (Part 2)🐞 Read More »
Defect management is one of the most critical areas of Quality Assurance. It directly influences software stability, release confidence, customer satisfaction, and business risk. Yet, metrics in this area are often misunderstood or misused. In this article, we explore four essential defect management metrics every QA professional should understand:Number of Open Defects, Defect Leakage to …
🚨 Defect Management Metrics Every QA Professional Should Know (Part 1) 🚨 Read More »
AI coding tools are still making many codebases worse, and a new study from Carnegie Mellon University on Cursor shows the main problem is falling code quality.[arxiv] What the study did Researchers looked at 807 GitHub projects that adopted Cursor and compared them with 1,380 similar projects that did not use it. They measured how …
New Study Shows AI Coding Tools Boost Speed — While Hurting Code Quality Read More »
We’ve all been there—that “gut feeling” early in a sprint that things might be going off the rails. As someone who’s spent over a decade in the trenches of software testing, I’ve learned that quality isn’t just about finding bugs; it’s about reading the room. Sometimes, the environment itself is the biggest bug of all. …
When software projects struggle, teams usually point to familiar reasons: delays unclear tickets dependencies lack of people changing priorities These issues are real, but they are rarely the main reason a project fails.A much bigger problem is often ignored: Important concerns exist, but communication breaks down and collaboration never happens. ⏱️ Identify Gaps in Communication …
The Hidden Risk: Missing Communication in Software Projects Read More »
Across many product teams, the moment something unexpected fails in production, the reflex is nearly identical:“Let’s increase our automation suite.” It feels logical. Automated checks run fast, they repeat without complaint, and they support rapid delivery cycles. But an uncomfortable reality sits underneath this habit: Automation reinforces patterns; it does not create wisdom. You can …
More Scripts, Same Problems: Why Test Automation isn’t Automagic 🪄 Read More »
AI is changing how we test software. The headlines say it can “generate test cases in seconds,” and yes, that’s technically true. But anyone who has spent time in the trenches of a QA project knows that speed means nothing if the input isn’t solid. Before asking what AI can do for us, we need …
The software testing landscape has reached a defining moment. The 16th edition of the World Quality Report, released in October 2024 by Capgemini, Sogeti, and OpenText, reveals that quality engineering is no longer a technical afterthought—it’s a strategic imperative driving business transformation. Based on insights from 1,775 senior leaders across 33 countries and 10 industries, …
The Quality Revolution: Key Insights from World Quality Report 2024-25 Read More »
A senior tester’s take on why AI isn’t replacing us—it’s making us superheroes As someone who’s been elbow-deep in bug reports and test cases for more years than I care to count, I’ve watched plenty of “revolutionary” tools come and go. Remember when record-and-playback was going to solve all our problems? Yeah, we’re still waiting …
When AI Becomes Your Testing Partner: Beyond the Hype of Automation Read More »
As a senior tester who’s navigated the shift from traditional QA to agile and now AI-powered practices, I’m fascinated by the rapid evolution at the intersection of artificial intelligence (AI) and software engineering. A recent publication by Ina K. Schieferdecker, “Augmenting Software Engineering with AI and Developing It Further Towards AI-Assisted Model-Driven Software Engineering,” offers …
How AI is Revolutionizing Model-Driven Software Engineering Read More »
