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Podcast: Software Testing, AI and Quality Insights : Page 7 of 16

Multidimensional risk-based testing
Multidimensional risk-based testing

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.

Remote Testing Services
Remote Testing Services

Remote Testing Services

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

Built in Quality
Built in Quality

Built in Quality

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

More quality through product discovery
More quality through product discovery

More quality through product discovery

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

How Property Based Testing helps
How Property Based Testing helps

How Property Based Testing helps

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.

Using open source securely
Using open source securely

Using open source securely

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.

Stop Inventing Your Own Encryption
Stop Inventing Your Own Encryption

Stop Inventing Your Own Encryption

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.

Results of the 2024 software testing survey
Results of the 2024 software testing survey

Results of the 2024 software testing survey

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

Stop Coding, Start Asking Questions
Stop Coding, Start Asking Questions

Stop Coding, Start Asking Questions

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

Static analysis with AI
Static analysis with AI

Static analysis with AI

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

Increase Team Autonomy
Increase Team Autonomy

Increase Team Autonomy

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

Retrospectives done right
Retrospectives done right

Retrospectives done right

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.

Swiss Testing Board
Swiss Testing Board

Swiss Testing Board

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.

Holistic Testing
Holistic Testing

Holistic Testing

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.

Cypress, Playwright or WebdriverIO
Cypress, Playwright or WebdriverIO

Cypress, Playwright or WebdriverIO

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

Software Test Leaders
Software Test Leaders

Software Test Leaders

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.

Fuzzy Testing
Fuzzy Testing

Fuzzy Testing

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

Synthetic test data
Synthetic test data

Synthetic test data

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.