Test description for AI capabilities
Making AI systems testable: How capabilities, quality criteria and structured test descriptions turn abstract standards into concrete testing approaches.
Podcast Software Testing : Page 6 of 12
Latest Episodes
Conversations with testers, developers, and coaches who work in the field.
Typical tester? More diverse than you think
Only 6% of surveyed testers fit the IT stereotype, the rest come from other fields. Why HR departments should sit up and take notice of this.
Test design with AI
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.
CI Pipelines
Those who test protect everyone on the team and in the project, not just themselves. A test net for embedded builds on CMake and Google Test.
Is Mutation Testing Worth the Runtime? Where It Pays Off
Every mutant reruns your test suite, and that gets slow fast. How incremental analysis in PIT and a focus on core logic make mutation testing pay off.
How to Pick a Test Design Technique Without Learning 30
25 to 30 test design techniques exist, five cover most cases in practice. How to pick the right one by problem type, risk level and team skills.
Why is code so hard to understand?
Why does your brain just not understand some code? Working memory only processes four chunks at a time, and good code respects this limit.
Test infrastructure at device manufacturers
700.000 lines of code in a combi steamer, 2,000 test cases per night: how test automation really works in device development.
Software Test Leadership
Who is really responsible for quality in a company often remains unclear. The ACT2LEAD model shows what leadership in testing actually looks like.
Intelligent organizations
Why do some teams feel great after shared work - and others wear down? What separates smart organizations from dumb ones.
Review 2024 and trends 2025
AI is becoming the standard tool in testing, accessibility is becoming mandatory and test automation continues to gain momentum. What really matters in 2025.
Trends in testing
AI dominates programming and testing, but lags behind in requirements engineering. Where Scrum really stands today and what that means for software quality.
Testing accessibility with those affected
Accessibility does not work automatically just because components are accessible. What goes wrong when assembling and why manual testing remains.
Software Analysis
What happens when a third of the adopted code is only available as a black box? How an agile mindset and honesty can save a ticket store project.
Impostor syndrome
Anyone familiar with impostor syndrome knows that rational thinking often doesn't help. Which strategies really lead out of the impostor cycle.
Test design with model-based testing
Model-based testing sounds good but often fails on the gap between model and actual test. A two-phase approach closes exactly that gap.
GenAI in test automation
AI-generated test code compiles cleanly but very often tests the wrong thing entirely. Writing unit tests yourself is the smarter route.
Where Formal Methods Get Used, and What a Proof Costs
Type systems, Windows drivers, payment rollbacks, the seL4 kernel: where formal methods run in practice, and why a proof can cost ten lines per line of code.