softwaredevelopment

🪲Defect Management Metrics Every QA Professional Should Know (Part 4)🪲

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Most defect metrics answer only one question: “How many bugs do we have?”But mature QA organizations need more than volume—they need to understand risk, accumulated quality problems, release readiness, and how effective testing is after launch. In this article, we cover four high-impact metrics from the Defect Management domain: Weighted Number of Submitted Defects Quality …

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🚨 Defect Management Metrics Every QA Professional Should Know (Part 1) 🚨

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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 …

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New Study Shows AI Coding Tools Boost Speed — While Hurting Code Quality

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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 …

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The Hidden Risk: Missing Communication in Software Projects

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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 …

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How AI is Revolutionizing Model-Driven Software Engineering

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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 …

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