Implementation as a test oracle
If you calculate target values for 2,500 signals manually, you lose the connection. How a reference implementation as a test oracle solves this.
If you calculate target values for 2,500 signals manually, you lose the connection. How a reference implementation as a test oracle solves this.
If you really want to understand agile working, you don't need a slide - you need a board, cards and a round of simulation.
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.
32.000 Slack members, 700 libraries, a budget of 250,000 euros a year: how Robot Framework remains so vital as an open source project.
Why do most podcasts die after seven episodes? Continuity beats perfection - and how conferences become a topic turbo.
Anyone who configures SAP always tests side effects. Why enterprise testing needs different rules and how experts without a testing background can still get fit.
From a sluggish monolith with hours of end-to-end testing to fast microservices: Which test strategy really works for this.
Informal networks are not created on command, but they determine how quickly teams adapt and whether trust grows or not.
Testing AI without structure is like testing without scale. How a three-dimensional matrix brings order to the chaos of AI testing dimensions.
Quality responsibility does not end at the story boundary. How quality coaching in SAFe closes the gaps between teams that nobody wanted to see.
Migrating Cypress to Playwright: Why a team hackathon with 7 tools made the obvious choice the sure thing.
50 to 60 percent less end-to-end testing through risk-based testing: how it works and where to start.
280 UI tests, under three minutes, no backend required: How isolated UI testing with mocked API responses becomes faster and more stable than classic component or E2E testing.
Requirements often have more gaps than expected. DEFOSPAM is an acronym that systematically uncovers definitions, scenarios and ambiguities - and AI could help with just that.
Making AI systems testable: How capabilities, quality criteria and structured test descriptions turn abstract standards into concrete testing approaches.
Only 6% of the testers surveyed fit the IT stereotype. What the majority bring to the table instead and why this should make HR departments sit up and take notice.
Many people know test design methods, but hardly anyone uses them. Why this is the case and how AI closes this gap without making you stop thinking.
Those who test don't protect themselves, they protect everyone. How a test network works in embedded development and why CMake, Google Test and a self-built automocker are the key.