Regression Testing Guide
The complete guide to regression testing — what it is, when to run it, types of regression, how to select and prioritise cases, and why automation suits it.
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Read More →Download the regression testing PDF from Uncodemy: when to run it, selecting and prioritising cases, automation and a sample suite.
This page offers Uncodemy's regression testing guide as a PDF download. Regression testing re-checks existing behaviour after a change to make sure that nothing that used to work has broken. The guide explains types of regression, how to select and prioritise cases, why automation helps and how to keep a regression suite healthy.
Each download below is its own file. Pick what you need — the main guide, a sample suite, or an interview-ready pack. All PDFs on this page are free to download. No form is required.
The complete guide to regression testing — what it is, when to run it, types of regression, how to select and prioritise cases, and why automation suits it.
A worked sample regression suite for an e-commerce site with priorities by area, plus a regression suite health checklist and effort-estimation steps.
Side-by-side retesting vs regression, common regression mistakes, and interview-style questions with short answers — perfect for last-minute revision.
Each download is a separate file. By downloading, you agree to our Privacy Policy. These PDFs are study material only — not a certificate or job guarantee.
Regression testing is the practice of re-running previously passed tests after a change to the software, such as a bug fix, a new feature, a configuration change or an upgrade, to confirm that existing functionality still works. The word regression means going backwards: a change that fixes one thing can accidentally break another because parts of a system depend on each other in ways that are not always obvious. Regression testing is therefore not about finding new features that do not work, but about protecting what already works. It is one of the most repeated activities in testing, and the reason test automation is so valuable.
| Trigger | Why regression is needed |
|---|---|
| A defect fix | The fix may affect nearby behaviour |
| A new feature | It may interact with existing features |
| A change in configuration or environment | Behaviour can depend on settings and infrastructure |
| A library or platform upgrade | Dependencies can change behaviour |
| Before every release | A final safety net for the whole product |
| Type | Scope | Use when |
|---|---|---|
| Corrective | Re-run existing tests unchanged | Software has not changed in behaviour, such as after a minor patch |
| Retest-all | Run the entire suite | A major change, or a risky release with sufficient time |
| Selective | Run only tests related to the change | Most changes, using impact analysis |
| Prioritised | Run the most important cases first | Time is limited |
| Progressive | Update tests for changed requirements and add new ones | The requirement itself has changed |
Running everything is ideal but often impractical, so teams select. Start with impact analysis: which modules does the change touch, and which others depend on them? Include cases for the area of the change, for related features and for critical business flows, such as login, search, checkout and payment. Add cases for defects found in the past, because areas that have broken before tend to break again. Keep a core regression suite of high-value cases that always runs, and add change-specific cases for each release.
| Area | Example checks | Priority |
|---|---|---|
| Login and account | Login, logout, password reset | High |
| Catalogue and search | Search by keyword, filter, sort, product page loads | High |
| Cart | Add, remove, change quantity, totals | High |
| Checkout and payment | Address entry, payment methods, order confirmation | Critical |
| Orders | Order history, status, cancellation | Medium |
| Notifications | Confirmation email and message content | Medium |
| Admin | Product update reflects on the site | Medium |
Regression tests are repetitive, run often and have stable expected results, which is exactly where automation pays off. Running hundreds of checks by hand before every release is slow and boring, and human attention fades. Automated tests run the same way every time, can run overnight or on every code change and give fast feedback. Not everything should be automated: exploratory testing, usability judgement and tests of unstable features are better done by people. A balanced approach automates the stable core and keeps manual time for new and unusual areas.
| Aspect | Retesting | Regression testing |
|---|---|---|
| Purpose | Confirm a reported defect is fixed | Confirm nothing else broke |
| Test cases | The exact failed case | Existing, previously passed cases |
| Scope | Narrow | Broad |
| Automation | Usually manual or one script | Strongly suited to automation |
| Order | Done first | Done after retesting |
Ready to build regression suites that protect what already works? Explore Uncodemy's Software Testing course or book a free demo and learn from industry trainers.