PVS‑Studio — Automated E2E Testing System
Comprehensive Selenium‑based E2E test system covering critical journeys on pvs‑studio.com. Prevents regressions on a business‑critical site.
Table of Contents
Project Context
PVS‑Studio is a well‑known static analyzer for C/C++/C#/Java. The corporate website is a business‑critical asset: product presentation, trial download, license purchase, support, documentation, and content.
Any site bug directly impacts sales and reputation.
Goal
Build a full E2E automation system that:
- Covers 100% of critical user journeys
- Prevents regressions on site updates
- Integrates into CI/CD
- Enables quick pre‑release checks
- Reduces manual toil on routine checks
Solution
Architecture
- Page Object Model: separation of test logic and page elements, reusable components, centralized locators, easier maintenance.
- Project structure:
pages/,components/,tests/,fixtures/,config/,utils/.
Coverage
Business‑critical flows:
- Trial download forms
- Purchase flow (cart + checkout)
- Navigation across core sections and menus
- Search (docs and articles)
- Contact and support forms
- Internationalization (EN/RU/JP etc.)
Technical checks:
- Broken links (404)
- Static assets loading
- Responsive checks (desktop/tablet/mobile)
- JS components behavior
- Form validation and error handling
Stack
Selenium WebDriver (cross‑browser, headless in CI), Python + pytest (fixtures, parametrization, parallel runs), Docker for reproducibility, CI pipelines for triggers and artifacts, screenshots on failure.
Results
The test suite fully covers critical journeys, prevents regressions, and accelerates release cycles.
Business effects: prevented bugs in purchase and download flows, faster releases, lower risk, time saved for QA.
Technical: robust, low‑flakiness suite; CI‑integrated; scalable architecture.
Metrics: ~15–20 min full run (parallel), >95% green without code changes, coverage across core pages/forms, Chrome/Firefox/Edge.
Takeaways
Automation is a system, not “some tests”: POM for maintainability, CI for continuous quality, Docker for reproducibility, and business‑outcome‑first priorities.
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