
AI: Are We Solving the Problems That Matter?
AI generates movies and apps while teams drown in legacy code. Why we should use AI for the problems that actually hurt, not for demos.
Test management decides where limited testing time goes: which risks to address first, how much testing is enough, and how results reach the people who make decisions. The test management guide covers the basics, from the test plan to progress control. This hub adds material from real projects and conversations.
The articles and podcast episodes deal with risk-based testing, lightweight test strategies, estimation, metrics, and reporting, as well as test organisation, maturity models, and the role of test managers in agile teams. They are for testing and quality leads who shape their strategy around their own project and want to know when a metric helps and when it misleads.

AI generates movies and apps while teams drown in legacy code. Why we should use AI for the problems that actually hurt, not for demos.

Requirements engineering decides how good testing can be. Test case design exposes gaps, and traceability shows which tests a change affects.

SAP testing starts with business processes and risk. PRACTICES UP covers eleven focus areas, and five data classes structure the test data.

Low-code testing turns business experts into citizen testers, since software demand outgrows developers. Linked TCoEs replace the classic test center.

Quality culture at DB Netz means quality coaches instead of dedicated testers, and continuous testing built into the MoQ-AP CI/CD pipeline.

T-shaped testers who span requirements, architecture, development and DevOps: that is software testing of the future. ML systems need new approaches.

Quality coaches shape the software testing of the future. They make quality a team value, even as continuous delivery speeds everything up.

Test automation pilot projects work best with the three top-ranked tools. Phase two covers one department, phase three the company-wide rollout.

Automated test design spans five levels, from capture & replay to model-based. Higher levels pay off when frequent changes drive up maintenance.

Agile test management spreads release planning, backlog reviews, and the Definition of Done across the team. The test manager becomes a facilitator.

Improve your software quality with analytical quality assurance, efficiently measuring software artifacts to detect issues early.

Time wasters in testing include copying test data by hand and fiddling with Word formatting. Automating, learning tools and delegating free up hours.

Testing tools drop off a shortlist for simple reasons: no hands-on evaluation, unstable runs, poor process fit, pushy sales or clunky usability.

Nobody becomes an agile tester by decree. Address testers and developers one by one, give them time, allow mistakes and make sure the work is fun.

Agile development for medical devices can comply with ISO 13485 and IEC 62304. A manufacturer shows how: short iterations, daily meetings, reviews.

UML metrics count classes, states, and relationships across UML diagram types and measure a design's size, complexity, and quality before it is built.

Test estimation from requirements: count test points and test cases, factor in testability and productivity, then feed a modified COCOMO-II formula.

A test center bundles scattered testing work in one internal or external unit. Four success factors: competence, staff, infrastructure and integration.

An application value assessment measures the size, complexity and quality of legacy systems to guide maintenance, migration and IT strategy.

A test can leak data, expose code or bring down production. The dark side of testing begins with the setup, which needs a risk assessment of its own.

CPU and RAM are rarely the bottleneck in Kubernetes load testing, caching or an external login more often. A test pays off once a decision follows.

In quality hunting, teams of about four people explore a system for half a day and report what stakeholders need to know about its quality.

A kernel has to run on every CPU generation, so hardware-in-the-loop testing puts it on real devices. Developers and CI reserve clean machines.

Istanbul's software testing conference grew from a risky debut to an event linking testers of Europe and Asia, with translation in every track.

Mutation coverage measures how many deliberately planted bugs your tests catch. It says more than code coverage, especially when AI agents write tests.

More test automation does not mean better quality. Why flaky AI tests, missing strategy, and the wrong roles quietly hollow out your test suite.

The ISTQB boards of Germany, Austria and Switzerland share one back office, which has kept their volunteer work running for up to 20 years.

Performance monitoring catches slowdowns users abandon after five seconds. Alerts, AI log analysis and a small replica find the exact query at fault.

Even 100% branch coverage let an off-by-one bug slip through. Coverage is only as good as its assertions, and loops need several iterations.

End-to-end test automation stays maintainable with a dedicated HTML test attribute, a central mapper, a three-layer framework and one naming convention.

Resilience in software projects starts with accepting bugs rather than avoiding them. What bacteria and moths teach about trends and testing hypotheses.

TMMI shows companies where their test processes stand and what comes next, from basic planning to preventing defects before they arise.

Building a QA culture starts with listening: map what quality means to each role, win budget with defect costs and change one thing per quarter.

The business value of testing shows up in money: regression time, support costs, failed releases. Automating a product about to change can lose money.

Quality Function Deployment (QFD) links customer benefits to functions and tests, the cause-and-effect analysis LLMs can't do. The result: fewer tests.

Stiftung Warentest buys products undercover, runs blind tests with reference devices and double-checks every measurement. Testers can borrow a lot.

Test reporting in 5 steps: Goal, position, forecast, data quality and automation. How reporting becomes a real management tool.

Exploratory testing is not just clicking around randomly. Here is how scoping, timeboxing, and risk focus turn it into a sharp quality tool.

Testing economics turns quality risks into numbers managers use: lost hours, lost deals, customer churn. Cutting visible waste first earns credibility.

EuroSTAR's call for papers drew 527 submissions for about 50 slots. The program chair explains how talks get picked and what makes one stand out.

Test coverage needs the right denominator. Process mining shows which workflows run in production, and the top 10 of 600 runs cover about 80 percent.

Impostor syndrome hits experienced testers too. One tester on naming her inner critic, admitting her limits, and getting into testing without a degree.

Startup software testing begins with testability and customer focus, not formal processes. Outnumbered testers have to speak up, even to management.

Quality metrics mislead when they stand alone. Pair mean time to resolve with reopen rate, pass rate with escaped defects, and keep the set small.

Error culture sounds good on the vision board, but collapses at the first real bug. What really helps before the stress comes.

A test automation strategy starts with the problem, not the tool. Map current and target state on the test pyramid; the gap is your scope of work.

Quality Storming combines Event Storming with HACCP from food safety to show where errors creep into development, long before anyone tests.

Software testing needs logic and imagination alike. What da Vinci's curiosity and love of simplicity teach testers about reports people understand.

Choosing an end-to-end testing framework starts with needs like Safari support, speed and mobile emulation. Cypress, Playwright, Nightwatch compared.

A test design board game built for checkout software produces around 24 new test cases per round, including tricky promotions, for the next release.

Switching test automation frameworks mid-product is messy, yet a Cypress to Playwright move works. Pricing forced it, AI translated the tests.

Test case prioritization without gut feeling: five levels, Fibonacci ratings and one risk score decide which test cases run first under time pressure.

Playwright vs Cypress vs WebdriverIO on four criteria: why Playwright wins new projects, where WebdriverIO trails, and when a switch isn't worth it.

A leader in software testing builds a quality culture. The ACT2LEAD model gives eight principles, from transparency to risk and diversity.

QA coaching replaced central control: eight people support over 100 applications, and an unread test manual became guardrails that teams accept.

A lightweight test plan does not end up in a drawer. The Federal Office of Administration built one from short modules and released it as open source.

Enterprise software testing checks how configuration changes in SAP ripple through dependent processes. Why business users test mostly the happy path.

Migrating from Cypress to Playwright took a team over a year alongside daily QA. The main hurdles: session handling, request interception, legacy tests.

Which headline do you not want in tomorrow's paper? Risk-based testing starts with that question. One team cut its end-to-end tests by 50 to 60 percent.

Without test leadership, testing culture stays stuck at team level. The ACT2LEAD model bundles eight principles, from transparency to diversity.

Software quality metrics only help when they fit the context and feed real decisions. Team comparisons mislead, and lead time deserves a closer look.

From tester to QA lead: the human challenges outweigh the technical ones. Leading a small project first shows whether a management role suits you.

ISTQB in practice at a telecom vendor: exploratory testing of undocumented third-party systems, homemade load test robots and a shared test vocabulary.

Test strategy via workshop instead of a hundred-page document: How a collaborative format quickly brings teams to a common test picture.

Choosing an E2E testing framework starts with your own requirements, such as Safari support or speed. Why Playwright led a comparison of five tools.

The test organization of the future replaces hierarchies with cell teams, and testers need V-shape skills with deep knowledge in several areas.

Five tools, manual transfer errors and no cross-system solution: that was test data management. A store concept changed the entire setup.

AI quality assurance lacks a clear test oracle, so quality is measured statistically. Metamorphic and pairwise testing help, reproducibility stays hard.

Mobile app testing, second attempt: HUK Coburg scrapped four years of automation. Now manual testers write keyword-driven tests with Robot Framework.

Software metrics are often avoided because they reveal inconvenient truths. Yet a simple table can be enough to forecast testing effort and defects.

Quality by design in software prevents errors before testing has to find them. The pharma-born approach rests on risk analysis and process metrics.

Evolutionary quality goals show which quality characteristics count in each system phase. Maintainability pays off once growth brings new developers.

Does Continuous Everything really improve quality? Six years of data show trunk-based development smooths out the defect peaks around each release.

Team alignment with OKR needs three to five early metrics, health metrics as a counterweight and a neutral facilitator who guides goal setting.

Software testing paid by test cases, coverage and errors found: how Europe's first independent test lab worked in 1978 and which principles still hold.

Liberating Structures like 1-2-4-All, Troika Consulting and TRIZ end meetings where everyone nods at the boss. Testers use them to uncover risks.

Test intelligence finds 80% of errors in 1% of the runtime with test impact analysis, and test gap analysis shows untested changes before release.

ISTQB CTFL 4.0 unites classic and agile testing in one syllabus and treats test management as a team role. Existing certificates remain valid for good.

Gamification makes manual testing fun and keeps risk analyses out of the drawer. Riskstorming, Bingo Bongo and Maturity Poker reveal edge cases.

Systematic testing picks risky and everyday inputs, and exit criteria show when you have tested enough. Complete testing is mathematically impossible.

Game testing for Tibia means weekly patches for a 25-year-old game with 500,000 players. Exploratory testing and big external tests keep it stable.

A software inspection finds errors early, before fixing them costs ten times more with each phase. Perspective-based reading helps, bosses don't.

Agile quality assurance starts in the conversation about requirements, long before acceptance testing. Leaving tests out is fine if the risk is known.