Protect every feature you've already shipped. We build and maintain automated regression suites that catch unintended side effects of every code change — before your users do.
Regression testing verifies that code changes — new features, bug fixes, refactoring, or dependency updates — haven't accidentally broken functionality that was already working. It is the safety net that allows teams to ship confidently and frequently.
The regression problem every growing team hits: When your application is small, a single developer can mentally track what their changes might affect. As your codebase grows — tens of thousands of lines, dozens of features, multiple integrations — no individual can hold the full system in their head. Every change carries the risk of an unexpected side effect somewhere else in the application. Without regression testing, you only find these breakages after deployment, when real users report them.
At 360 Fahrenheit, we design regression testing strategies that scale with your application. For small teams and early-stage products, a focused manual regression checklist may be sufficient. For growing products with regular releases, an automated regression suite integrated into CI/CD is what allows you to ship multiple times per week without fear. We assess your application's size, change velocity, and team capacity — then recommend and build the right regression approach for your specific situation.
Our regression testing services are used by software teams across Pakistan, Saudi Arabia, UAE, UK, and the United States — from fintech products where a regression in a payment flow has immediate financial consequences, to SaaS platforms where a broken login feature blocks every one of your customers simultaneously.
Running every test on every change is expensive and slow. Smart regression testing uses a risk-based approach — investing the most coverage where failures cause the most damage.
Authentication, payments, core data operations, user account management, and any feature directly tied to revenue or regulatory compliance. These run on every build.
Secondary user flows, notification systems, reporting features, and integrations with third-party services. These run before every production release.
Static content pages, low-traffic features, admin-only functionality, and cosmetic UI elements. These run on a scheduled basis rather than every build.
Why risk-based matters for pipeline speed: A full regression suite for a mature application can contain thousands of tests. Running all of them on every commit is impractical — it would make your CI/CD pipeline too slow for developers to tolerate. By applying risk-based prioritisation, we configure fast smoke and high-risk regression runs (5–10 minutes) that trigger on every commit, with full regression suites (30–60 minutes) that run on release branches only. You get both speed and coverage.
A complete, maintainable regression testing programme — covering suite design, automation, CI/CD integration, and ongoing maintenance as your application evolves.
We design a layered regression suite structure — smoke tests for the most critical paths, a core regression suite for all stable features, and extended regression for edge cases and integrations. Each layer has defined execution triggers, expected runtimes, and pass/fail thresholds. The architecture is documented so your team can maintain and extend it independently.
We automate your highest-value regression scenarios using Selenium, Playwright, RestAssured depending on your application type. Every automated test is written for long-term maintainability — using Page Object Model, stable locators, intelligent waits, and clear naming conventions — so the suite remains reliable as your application UI evolves.
For large suites, we implement test impact analysis — automatically detecting which tests are relevant to a specific code change and running only those, rather than the full suite. This dramatically reduces unnecessary test execution while maintaining comprehensive coverage for changes that matter. Change a payment module? Payment tests run. Change a UI component? Only tests that touch that component run.
Regression suites that aren't maintained become liabilities rather than assets — broken tests that nobody fixes, flaky tests that teams learn to ignore, tests that no longer reflect current application behaviour. We offer ongoing maintenance retainers where we fix broken tests, update selectors after UI changes, retire obsolete scenarios, and add coverage for new features as part of a regular cadence.
We configure regression coverage dashboards that show your team exactly what percentage of your application's features are covered by regression tests, trend graphs showing coverage over time, flakiness rates per test, and suite execution time history. These metrics give engineering leadership visibility into regression health and help justify investment in expanding coverage.
Regression suites are fully integrated into your CI/CD pipeline — triggered automatically on every pull request merge, every release branch build, and every scheduled deployment. Quality gates block deployments when regression failure rates exceed defined thresholds. Allure reports published after every run give the team instant visibility into what passed, what failed, and what is newly failing.
We map your application's features against your existing test coverage, identify uncovered high-risk areas, and review your historical defect data to understand where regressions have occurred in the past. Features that have broken before are statistically more likely to break again — and become the highest priority for regression automation investment.
We design the regression suite structure — defining which scenarios belong in smoke, core regression, and extended regression layers, and setting execution time budgets for each layer. We select test cases based on business risk, historical defect patterns, code change frequency, and user journey criticality — not simply by automating every existing manual test case.
We write the automated regression scripts — targeting stable, high-value scenarios first and expanding coverage in subsequent iterations. We prioritise reliability over volume: 50 tests that always pass or fail correctly are far more valuable than 200 tests that are flaky and ignored. Every script includes proper data management, environment configuration, and cleanup to ensure test isolation.
We integrate the regression suite into your pipeline with appropriate triggers — fast smoke on every commit, full regression on release branches — and tune parallel execution to hit your build time targets. We monitor the suite through the first 2–4 weeks of live use, fixing flaky tests and performance issues before handing full ownership to your team.
We deliver complete documentation, train your QA team on adding new regression tests, and agree a maintenance cadence — either a retainer with us or an internal process your team manages. A regression suite without a maintenance plan degrades within months. We make sure yours doesn't.
Functional testing verifies that a new feature works correctly when it is first built. Regression testing verifies that previously working features still work correctly after subsequent code changes. Functional testing is a one-time activity for each new feature. Regression testing is an ongoing activity — the same scenarios are re-executed after every change to confirm nothing has broken. In practice, good functional test cases become regression test candidates once the feature they cover is stable.
A focused regression suite covering your 30–50 most critical user journeys typically takes 3–5 weeks to build and validate. A comprehensive regression suite for a mature application may take 2–3 months. We typically recommend a phased approach — delivering high-risk automation first so you get protection on critical paths quickly, then expanding coverage in subsequent phases.
Yes — this is one of our most common engagements. We audit existing regression suites, identify root causes of flakiness (poor waits, brittle selectors, data dependencies between tests, environment issues), fix the underlying problems, and establish a maintenance process to prevent degradation. A reliable suite of 100 tests is dramatically more useful than a chaotic suite of 500 that nobody trusts.
Yes. 360 Fahrenheit is based in Lahore, Pakistan and delivers regression testing engagements to clients across Pakistan, Saudi Arabia, UAE, UK, and the United States. All work is delivered remotely — code is version-controlled in your repository, pipeline integration is configured in your CI/CD platform, and communication is in English with regular progress updates.