Web Testing Overview
Complete guide to creating, managing, and executing web application tests in ContextQA — from recording your first test to running full regression suites.
ContextQA's web testing capabilities let you build automated tests for any web application in natural language — no code required. The AI agent navigates real browsers, interacts with your UI, and verifies results exactly as a human QA engineer would.
Quick answer
ContextQA web testing converts a plain-English workflow, recorded browser session, or imported requirement into a reviewable automated test. The saved test runs in a real browser, collects step-level and execution-level evidence, and can be reused in suites, test plans, schedules, and CI/CD quality gates. Self-healing addresses routine element-location drift while genuine application failures remain visible for investigation.
How Web Testing Works
Describe the test — Write what you want to test in plain English, including the steps to perform and what to verify.
ContextQA creates the steps — The AI parses your description into structured, executable steps.
Execution runs in a real browser — The AI agent navigates Chrome, Firefox, Safari, or Edge with actual browser rendering and JavaScript execution.
Evidence is collected automatically — Screenshots, video, network HAR, and console logs are captured for every run.
AI self-healing keeps tests green — If a UI element changes, the agent automatically finds the equivalent new element and continues.
Supported Browsers
Chrome
Latest + 2 previous
Default; best performance
Firefox
Latest + 2 previous
Safari
Latest
macOS/iOS only
Edge
Latest
Chromium-based
Browser selection is configured in the Test Plan or per individual execution run.
What You Can Test
Single-page applications (React, Angular, Vue, Svelte) — full JavaScript execution and dynamic routing
Traditional server-rendered sites — page loads, form submissions, redirects
Authentication flows — login, logout, SSO/SAML redirect handling, MFA (with Knowledge Base entries)
Multi-step workflows — checkout flows, onboarding wizards, multi-page forms
Data entry and validation — form field inputs, error messages, required field enforcement
Navigation and routing — breadcrumbs, back button behavior, deep link handling
API-backed UI — the network monitor captures all XHR/fetch requests, so API failures surface in test results
PDF and file download — verify that downloads trigger and files have expected content
File uploads — test file input fields with actual files
Responsive layouts — set the viewport size per run to test desktop, tablet, and mobile breakpoints
In This Section
Creating and editing tests
How to write effective test descriptions; AI-powered test generation from tickets and requirements
Manual step editing; conditional logic (If / Else If / Else), loops, API calls, and step groups
Debug interactively with breakpoints, live variable inspection, and step-by-step execution
Requirements-driven testing
Upload requirement documents and let AI generate test cases, analyze coverage gaps, and track change history
Review AI-generated test cases, analyze coverage gaps, and manage your requirements library
View and manage imported requirement files, review AI analysis, and inspect file metadata
View test cases generated from imported files, review AI results, and track import history
Advanced step types
Run SQL queries during tests and verify backend data with assertions
Execute custom JavaScript for complex logic, calculations, and DOM interactions
Generate TXT and CSV files dynamically for file upload and import testing
Test data and variables
Data-driven testing with parameterized profiles; local and global variables
Manage environments, variables, database connections, and data profiles from one workspace
Export and import environments, data profiles, and variables using JSON or Excel
Suites, plans, and versioning
Grouping test cases; building regression and smoke suites
Creating execution plans; scheduling, CI/CD integration, parallel execution, and recovery settings
Track, compare, and restore previous versions of your test cases
AI self-healing
How self-healing works; reviewing and approving healing suggestions
See self-healing detect a broken locator and repair a step automatically
Tutorials
Build a parameterized login test that runs with multiple user roles from one data profile
Build a reusable login step group, insert it into multiple test cases, and update it once
Quick Start: Your First Web Test
If you want to jump straight in:
Go to Test Cases in the left navigation.
Click + New Test Case.
Choose Start with AI Assistance.
Enter your application URL and a plain-English description:
Click Generate Test Case.
Watch the AI run, capture screenshots, and build the structured steps.
Click Run to execute the saved test case.
The test is now saved and can be added to a suite and scheduled.
Tips for Effective Web Tests
Be specific about what to verify — "verify the order confirmation number appears" is better than "verify the page loads".
Use your Knowledge Base — if your app has cookie banners, chat widgets, or feature tours, add Knowledge Base entries to dismiss them automatically before they interfere with tests.
Keep tests atomic — one test case per user scenario. This makes failures easier to diagnose.
Use step groups for shared setup — if 20 test cases all start with "log in as admin", create a Login step group and reuse it.
Set realistic environments — always use an Environment record instead of hardcoding URLs in steps, so the same tests can run against staging and production.
Related Pages
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