Testing
Kotlin Multiplatform (KMP) lets you write business logic once and share it across Android, iOS, desktop, and web. But sharing code means shared bugs — and shared testing responsibilities. This guide covers everything you need to test KMP projects effectively. Why Testing KMP Is Different In a typical Android project, your
Testing
Integration tests in Kotlin Multiplatform verify that your components work together — not just in isolation. The most common integration point is your API layer: the code that talks to a server using Ktor. This guide covers how to integration-test a Ktor-based client across all KMP targets. Why Integration Tests Matter
Testing
Kotlin Multiplatform's promise is compelling: write business logic once, run it on iOS and Android. But "write once" doesn't automatically mean "test once." Shared code can behave differently across platforms due to threading models, memory management, and standard library differences. This guide
Testing
Choosing a cross-platform mobile framework is partly a testing decision. The tools, ecosystems, and philosophies around testing differ significantly between Kotlin Multiplatform, React Native, and Flutter. This comparison helps you understand the tradeoffs before you commit. The Core Testing Philosophy Difference KMP shares business logic but keeps native UI. Testing
Testing
Kotlin Multiplatform (KMP) brings a challenge that pure Android or pure iOS developers don't face: your unit tests need to run on multiple runtimes. The kotlin.test library and MockK together form the standard testing stack for KMP projects. Here's how to use them effectively. The
Testing
Most QA teams track test counts and pass rates because they're easy to measure — not because they correlate with quality outcomes. Engineering leaders see through vanity metrics quickly, and QA functions that can't connect their work to business outcomes lose budget and influence. This guide covers
Testing
Test debt is the accumulated cost of deferred test maintenance — slow suites, flaky tests, duplicate coverage, and dead tests that no longer verify anything meaningful. Unlike production code debt, test debt is often invisible until it causes a crisis. This guide provides a systematic framework for identifying, measuring, and eliminating
Testing
Coverage thresholds block merges when code coverage drops below your team's standard. SonarQube enforces thresholds as quality gate conditions; Codecov enforces them via a codecov.yml file. This guide covers both approaches, how to set realistic thresholds, and how to increase them over time. Why Coverage Thresholds Matter
Testing
The average checkout abandonment rate is 70%. Most abandonment happens due to performance problems, form friction, unclear error messages, and trust signals. Funnel testing combines performance profiling, UX testing, and A/B testing to find and fix each drop-off point systematically. Understanding Checkout Funnel Metrics Before optimizing, you need to
Security Testing
DevSecOps integrates security testing into every stage of the CI/CD pipeline instead of running it as a separate gate at the end. The principle is "shift left"—move security checks earlier in the development process where they're cheaper to fix. A complete DevSecOps pipeline runs
Testing
StyleLint enforces CSS code quality standards; visual regression tests catch the layout and styling bugs that StyleLint can't — the ones that only show up when you look at a browser. Combined in CI, they form a complete CSS quality gate. Why CSS Needs Two Types of Testing StyleLint
Testing
E-commerce regression testing is the systematic process of verifying that existing functionality still works after every code change. Every release is an opportunity to silently break checkout, inventory management, or payment processing. This guide defines what to test, in what order, and at what frequency. Why E-commerce Regression Testing Is