Software testing survey 2024
The Software Testing Survey has been running every few years since 2011, now for the fourth time. What has really changed in testing since then.
Conversations with testers, developers, and coaches who work in the field.
The Software Testing Survey has been running every few years since 2011, now for the fourth time. What has really changed in testing since then.
90% of failed tests are real bugs, not automation errors. Why no project can do without manual testing.
Quality coaching differs from traditional consulting: solutions are created in the team, not in front of it. Which methods make this possible.
Why security in the development team hardly gets through despite a high level of awareness, and which approach really works in practice.
Accessibility tests today end up in a jumble of Word, Excel and browser tabs. How an integrated test environment can change this and how AI can help.
Why do well-intentioned impulses in a team so often fizzle out? Systemic consulting explains how connectivity determines impact.
Testing AI sounds complex, but it often boils down to a single question: does the system behave deterministically or not? What this means for your test strategy.
Agile transformation with a hangover? Four change models show why change fails and how small steps achieve more than major upheavals.
AI testing, test data, accessibility: which trends testers should really have on their radar and why the right tool often doesn't solve the actual problem.
AI doesn't make developers more productive, it makes them faster at creating legacy code. What this means for quality and jobs until 2034.
From July 2025, penalties of up to 100,000 euros will be imposed for lack of accessibility. What this means in concrete terms for design, development and testing.
There is often a gap between theory and practice in software testing. How AI-supported certification aims to change this - and why 40 national boards are getting involved.
Explore how sustainability in IT and eco-friendly IT solutions can optimize resource use for better performance. Small changes, big impact!
LLMs testing like a pro: Acceptance Test Driven Development meets fine-tuning - creating a measurable quality process for AI systems.
Without a test structure, without a budget, without ready-made tools: How one team built real quality assurance step by step.
A test automation monolith that has grown for years, XML everywhere in the code like a tumor: How to refactor anyway and what really counts.
Stoic principles in product management: Those who judge decisions by the result make the wrong judgment. Three lessons that change that.
Lots of unit tests, high test coverage, but still bugs. Why the test pyramid is often used incorrectly and when other approaches make more sense.