Planning, steering, and improving testing activities through test strategy, risk, metrics, maturity models, and governance.
Explore the future of software testing with low-code development, DevOps integration, and enhanced quality assurance methodologies.
In 2025, explore the future of software testing with evolving quality assurance strategies and insights on CI/CD for continuous testing.
Explore the future of software testing with AI in software testing techniques revolutionizing quality assurance strategies.
Explore the future of software testing, where Quality Assurance in Agile and teamwork are crucial for success. Discover modern QA techniques!
As a test manager in agile projects, enhance your role in quality assurance and explore agile test management techniques. Discover best practices today!
Improve your software quality with analytical quality assurance, efficiently measuring software artifacts to detect issues early.
Use test automation tools to streamline routine tasks efficiently and gain more time for agile testing techniques.
Explore how metrics of UML diagrams in software projects enhance design efficiency and quality.
Optimize your test project estimation with the COCOMO II formula and improve test case productivity
Enhance your software testing with our dedicated test center. Achieve quality assurance and efficiency through our expert-led processes.
Measuring application systems offers insights into size, quality, and complexity, enhancing IT strategy development and decision-making. Discover key metrics.
TMMI shows companies exactly where their test processes stand and what the next step looks like, from basic planning to preventing defects before they exist.
Test reporting in 5 steps: Goal, position, forecast, data quality and automation. How reporting becomes a real management tool.
Exploratory testing is not just clicking around randomly. Here is how scoping, timeboxing, and risk focus turn it into a sharp quality tool.
Managers speak in numbers, testers speak in risks. Closing that gap with basic economics can protect your job and actually get quality initiatives approved.
Impostor syndrome doesn't just hit newcomers. A seasoned test manager shares how naming her inner critic helped her build a career without a degree.
Quality in start-ups is not created by processes, but by attitude. Why testers need to be louder than developers.
More tests don't mean better quality. See why pairing every metric with a counter-metric is the move that actually drives improvement.
Errors usually occur long before anyone tests. Quality Storming makes visible where quality is lost in the process - before it's too late.
Risk-based testing works - but only if it's more than a gut feeling. Five levels, one aggregated score, zero extra effort.
Testing leadership is often invisible in companies, and that gap quietly kills quality. The ACT2LEAD model names exactly what's missing and why it matters.
Test plans that end up in a drawer don't help anyone. How a modular QA toolkit is changing that and why it will soon be open source.
50 to 60 percent less end-to-end testing through risk-based testing: how it works and where to start.
Who is really responsible for quality in a company often remains unclear. The ACT2LEAD model shows what leadership in testing actually looks like.
More data does not automatically mean better decisions. Which software metrics really help and why context is more important than any number.
Without a test structure, without a budget, without ready-made tools: How one team built real quality assurance step by step.
Test strategy via workshop instead of a hundred-page document: How a collaborative format quickly brings teams to a common test picture.
From the I-Shape to the V-Shape: Why testers will need in-depth knowledge in several areas in the future and how cell teams could replace hierarchies.
Testing AI means rethinking: no clear test oracle, statistical quality instead of pass/fail. What this means in concrete terms and which methods really help.
Software metrics are often avoided because they reveal inconvenient truths. Yet sometimes a simple table is enough to manage projects in a measurable way.
Don't test for errors, don't introduce them in the first place: Quality by Design transfers an approach from the pharmaceutical industry to software development.
Demanding maintainability early, even though the market is still lacking? Wrongly prioritized. The evolution model shows which quality goals really count and when.
Manual testing is no fun, risk analyses end up in a drawer. Gamification in testing can solve both - with concrete formats such as Bingo-Bongo or Maturity Poker.
Quality in agile projects is not created at the back in acceptance testing, but at the very front in dialog. Why this is the case and what often goes wrong.
