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Test Management & Strategy

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.

Foundations

Articles

AI: Are We Solving the Problems That Matter?
AI: Are We Solving the Problems That Matter?

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.

T-Shaped Testers: Software Testing of the Future
T-Shaped Testers: Software Testing of the Future

T-Shaped Testers: Software Testing of the Future

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

Time Wasters in Testing: Automate, Learn and Delegate
Time Wasters in Testing: Automate, Learn and Delegate

Time Wasters in Testing: Automate, Learn and Delegate

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: Why Candidates Drop Off the Shortlist
Testing Tools: Why Candidates Drop Off the Shortlist

Testing Tools: Why Candidates Drop Off the Shortlist

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

UML Metrics: Measuring Size, Complexity, and Quality
UML Metrics: Measuring Size, Complexity, and Quality

UML Metrics: Measuring Size, Complexity, and Quality

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

Podcast Episodes

Dark Side of Testing: The Failures We Cause Ourselves
Dark Side of Testing: The Failures We Cause Ourselves

Dark Side of Testing: The Failures We Cause Ourselves

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.

Kubernetes Load Testing: Start with a Risk Question
Kubernetes Load Testing: Start with a Risk Question

Kubernetes Load Testing: Start with a Risk Question

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.

Hardware-in-the-Loop Testing: Kernels on Real CPUs
Hardware-in-the-Loop Testing: Kernels on Real CPUs

Hardware-in-the-Loop Testing: Kernels on Real CPUs

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.

You Need a Test Automation Strategy Before AI
You Need a Test Automation Strategy Before AI

You Need a Test Automation Strategy Before AI

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

Resilience in Software Projects: Follow the Bug Trend
Resilience in Software Projects: Follow the Bug Trend

Resilience in Software Projects: Follow the Bug Trend

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

How to Build QA Culture in Your Company
How to Build QA Culture in Your Company

How to Build QA Culture in Your Company

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.

Business Value of Testing: Translate Risk into Money
Business Value of Testing: Translate Risk into Money

Business Value of Testing: Translate Risk into Money

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

QFD: The Cause-and-Effect Analysis LLMs Can't Deliver
QFD: The Cause-and-Effect Analysis LLMs Can't Deliver

QFD: The Cause-and-Effect Analysis LLMs Can't Deliver

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

Call for Papers: 527 Submissions for About 50 Slots
Call for Papers: 527 Submissions for About 50 Slots

Call for Papers: 527 Submissions for About 50 Slots

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: Process Mining Shows What Really Runs
Test Coverage: Process Mining Shows What Really Runs

Test Coverage: Process Mining Shows What Really Runs

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.

Facing Impostor Syndrome as a Software Tester
Facing Impostor Syndrome as a Software Tester

Facing Impostor Syndrome as a Software Tester

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: Why Testability Comes First
Startup Software Testing: Why Testability Comes First

Startup Software Testing: Why Testability Comes First

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

Test Automation Strategy: Start with the Problem
Test Automation Strategy: Start with the Problem

Test Automation Strategy: Start with the Problem

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.

End-to-End Testing Framework: Start with Requirements
End-to-End Testing Framework: Start with Requirements

End-to-End Testing Framework: Start with Requirements

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

Cypress to Playwright: Migrate Critical Paths First
Cypress to Playwright: Migrate Critical Paths First

Cypress to Playwright: Migrate Critical Paths First

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

Playwright vs Cypress vs WebdriverIO: A Clear Verdict
Playwright vs Cypress vs WebdriverIO: A Clear Verdict

Playwright vs Cypress vs WebdriverIO: A Clear Verdict

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

Migrating from Cypress to Playwright: The Real Effort
Migrating from Cypress to Playwright: The Real Effort

Migrating from Cypress to Playwright: The Real Effort

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

ISTQB in Practice: Building Test Expertise in Telecom
ISTQB in Practice: Building Test Expertise in Telecom

ISTQB in Practice: Building Test Expertise in Telecom

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

Minimum Viable Test Strategy
Minimum Viable Test Strategy

Minimum Viable Test Strategy

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: Requirements First
Choosing an E2E Testing Framework: Requirements First

Choosing an E2E Testing Framework: Requirements First

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

Quality by Design in Software: Prevent Errors Early
Quality by Design in Software: Prevent Errors Early

Quality by Design in Software: Prevent Errors Early

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

Test Intelligence: Finding More Bugs in Less Time
Test Intelligence: Finding More Bugs in Less Time

Test Intelligence: Finding More Bugs in Less Time

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

The ISTQB CTFL 4.0 Makes Testing a Team Responsibility
The ISTQB CTFL 4.0 Makes Testing a Team Responsibility

The ISTQB CTFL 4.0 Makes Testing a Team Responsibility

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.

Agile Quality Assurance: Talking Comes Before Coding
Agile Quality Assurance: Talking Comes Before Coding

Agile Quality Assurance: Talking Comes Before Coding

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