
Multidimensional risk-based testing
Risk-based testing works - but only if it's more than a gut feeling. Five levels, one aggregated score, zero extra effort.

Risk-based testing works - but only if it's more than a gut feeling. Five levels, one aggregated score, zero extra effort.

Bringing external testers into the agile team - in one week? How this works with contingents, clear communication and a fixed contact person.

Agile quality often breaks not in the team, but one layer above. How practices, not frameworks, keep quality from falling through the cracks.

Building software without asking users first often solves entirely the wrong problem. What product discovery means and why paper wins here.

A bug that only appears after 17 exact steps sounds untestable. Property-based testing finds it anyway, by generating cases humans would never think to write.

Anyone installing open source needs a bill of materials, since it makes up 80 to 95 percent of software. Licenses, gaps and the Cyber Resilience Act.

Security built in from the start beats security bolted on at the end. Here is why threat modeling, defense in depth, and secure defaults change everything.

A third of respondents already use AI for coding, yet regression testing lacks automation. What the 2024 software testing survey shows.

Most software problems start as conversations that never happened. Collaborative modeling shows how to fix alignment before it hardens into broken code.

Static analysis throws up thousands of findings and AI fixes two thirds reliably. What that means for old code bases and where it stops.

Psychological safety can be built, but one careless remark can undo weeks of progress. Here's how teams solve problems together.

Why do retrospectives so often produce the same little pieces of paper? Five phases, a design canvas and a crucial error in thinking about the measures.

How did the ISTQB come about and what still applies today? From Bloom taxonomy to AI testing: what really counts when testing needs to be faster.

Quality isn't a phase you reach at the end of a sprint. Holistic testing shows how shared understanding early prevents the rework that quietly kills teams.

Playwright or Cypress for component and end-to-end testing? Which tool has the edge today and when a change is really worthwhile.

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.

Fuzzing sounds like chaos but is a method that reveals security gaps systematically. Targeted test data beats pure randomness in practice.

Anyone who builds test data manually or derives it from production data risks GDPR problems and hardly finds any new bugs. How synthetic generation solves this.