Test automation with Gauge framework using Markdown specifications, step implementations in Java/Python/JavaScript/Ruby/C#, concepts, data-driven testing, and living documentation.
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詳しく見る →Test automation with Gauge framework using Markdown specifications, step implementations in Java/Python/JavaScript/Ruby/C#, concepts, data-driven testing, and living documentation.
Testing GDPR compliance requirements including data deletion, consent management, data portability, right to erasure, and privacy policy enforcement.
Setting up and optimizing test pipelines in GitHub Actions with caching, parallel execution, matrix builds, and test result reporting.
Go testing with testing package, table-driven tests, subtests, benchmarks, test fixtures, httptest, and testify assertions.
Golden file testing pattern for comparing output against approved baselines with update workflows, diff tools, and version control integration.
Testing GraphQL subscriptions including WebSocket lifecycle, real-time event delivery, authorization on subscriptions, and connection management.
Comprehensive GraphQL API testing including query/mutation testing, schema validation, resolver testing, subscription testing, and N+1 query detection.
gRPC service testing including protobuf validation, streaming tests, error handling, deadline testing, and load testing for gRPC endpoints.
Testing HIPAA compliance for healthcare applications including PHI handling, audit logging, access controls, and data encryption verification.
i18n testing covering locale switching, date/number formatting, RTL layout, plural forms, ICU messages, and translation completeness verification.
Testing image processing pipelines including format conversion, resize quality, metadata handling, watermark verification, and thumbnail generation.
Detecting and testing infrastructure drift between desired state and actual state using automated scanning, alerting, and remediation patterns.
Integration testing strategies including database integration, external service integration, message queue testing, and test container patterns.
IoT device testing including firmware validation, protocol testing (MQTT, CoAP), power consumption testing, and over-the-air update verification.
BDD-style JavaScript testing with Jasmine covering spies, async patterns, custom matchers, clock manipulation, and comprehensive test organization for frontend and Node.js applications.
Modern JavaScript testing strategies with Jest, Mocha, and testing best practices covering unit testing, integration testing, mocking, async patterns, and DOM testing.
Production-grade Java unit and integration testing with JUnit 5 covering assertions, parameterized tests, lifecycle hooks, Mockito mocking, nested tests, and extensions.
Comprehensive JWT token security testing including signature verification, expiration checks, algorithm confusion attacks, and claim validation.
Comprehensive Karma test runner skill for browser-based JavaScript unit testing with Jasmine, Mocha, or QUnit frameworks, real browser execution, coverage reporting, and CI/CD pipeline integration.
Kotlin testing with JUnit 5, MockK, Kotest, coroutine testing, Android testing with Espresso, and Kotlin-specific assertion libraries.
Kubernetes deployment testing including manifest validation, Helm chart testing, pod health checks, network policy testing, and rollback verification.
Expert-level Laravel Dusk browser testing skill for PHP/Laravel applications. Covers Chrome-based E2E testing, browser assertions, Page Objects, component testing, authentication helpers, and database integration.
Laravel PHP testing with PHPUnit, feature tests, browser tests with Dusk, database factories, mocking facades, and HTTP testing helpers.
Expert-level Lettuce BDD testing skill for Python applications. Covers Gherkin feature files, step definitions, terrain hooks, Selenium integration, data-driven scenarios, and migration guidance to Behave for modern projects.
Coverage-guided fuzz testing using libFuzzer for C/C++ applications to find memory corruption, buffer overflows, and crash-inducing inputs.
Automated open-source license compliance testing to detect license conflicts, copyleft violations, and license compatibility issues in dependencies.
Automated web performance auditing using Google Lighthouse for Core Web Vitals, accessibility, SEO, and best practices scoring with CI integration.
Testing LLM-powered features including output quality validation, hallucination detection, token usage monitoring, and prompt regression testing.
Security testing for LLM-powered applications including prompt injection, jailbreak detection, data leakage prevention, and AI safety testing.
Testing load balancer configurations including health check validation, routing algorithms, session affinity, failover behavior, and SSL termination.
Detect localization and internationalization defects including untranslated strings, text expansion overflow, RTL layout issues, and locale-specific formatting errors
Python-based load testing with Locust for writing user behavior scripts, distributed testing, real-time web UI monitoring, and custom load shapes.
Testing logging implementations including log level verification, structured logging validation, log rotation testing, and log aggregation pipeline testing.
Systematic memory profiling and leak detection in applications using heap snapshots, allocation tracking, and garbage collection analysis.
Consumer-driven contract testing for microservices using Pact, ensuring API compatibility and preventing integration breakages across service boundaries.
Accessibility testing for mobile apps including VoiceOver/TalkBack testing, touch target sizes, dynamic type support, and motor accessibility.
Scalable mobile testing using cloud device farms like AWS Device Farm, BrowserStack, and Firebase Test Lab for cross-device compatibility.
MongoDB testing with in-memory MongoDB, aggregation pipeline testing, schema validation, indexing verification, and replica set testing.
Microsoft's built-in .NET testing framework covering test classes, data-driven tests, assertions, lifecycle management, mocking with Moq, and integration testing for C# applications.
API mocking with Mock Service Worker for browser and Node.js environments including request interception, response simulation, and network error testing.
Testing multi-tenant application isolation including data segregation, tenant-specific configuration, cross-tenant access prevention, and performance isolation.
Advanced mutation testing using Stryker, PIT, and mutmut to measure test suite quality by introducing controlled mutations and tracking kill rates.
Detect and eliminate N+1 query problems in database-backed applications through query counting, execution plan analysis, and ORM configuration auditing
Systematically generate negative test cases covering invalid inputs, unauthorized actions, missing required fields, exceeded limits, and malformed request payloads
NestJS application testing with @nestjs/testing, dependency injection mocking, e2e testing with supertest, guard testing, and pipe validation testing.
Network latency simulation and testing for measuring application behavior under various network conditions including high latency, packet loss, and bandwidth constraints.
Next.js application testing covering Server Components, App Router, API routes, middleware, dynamic routes, and SSR/SSG testing patterns.
Comprehensive NightwatchJS end-to-end testing skill with integrated Selenium WebDriver, built-in assertions, page objects, and parallel test execution for reliable browser automation in JavaScript and TypeScript.
HTTP request mocking with Nock for Node.js testing including request intercepting, response recording, and external API simulation.
NUnit 3 constraint-based testing for C# covering Assert.That patterns, parameterized tests, setup/teardown, Moq mocking, test categories, and the fluent assertion model.