Every change is a gamble until the regression suite is real
Most teams do not lack tests. They lack tests anyone trusts, so the suite is bypassed and the critical path is verified by hand in a staging environment that stopped resembling production a long time ago. That is why ERP upgrades become multi-quarter programmes and why small changes cause large incidents.
- 60–80%
- of regression effort automated and run per change
- Weeks → days
- for a typical upgrade rehearsal window
- Hours
- from merge to a verified, deployable build
- Fewer
- defects escaping to production, with a test on each fix
What it looks like today
The pattern we find in almost every operation
- Regression is a manual, sampled, end-of-cycle activity performed under time pressure.
- The automated suite is partially disabled because a quarter of it fails intermittently.
- Test environments have drifted so far from production that passing means very little.
- Test data is either production data copied down, or a fixture too small to trigger real behaviour.
- Nobody can say which tests cover a given business rule, so nothing can be safely removed or changed.
- Upgrade projects consume several months of regression effort that proves the upgrade did not break anything — expensively.
- Defects reach production, and the fix is applied without a test that would catch the next one.
How we do it
The approach, step by step
- 01
Start from risk, not from coverage
We map what actually breaks the business when it fails — revenue paths, regulatory controls, integrations, financial postings — and build coverage from that list. A high coverage percentage over the wrong surfaces is worse than a small suite that protects what matters.
- 02
Make the existing suite trustworthy
Flaky tests are diagnosed and fixed rather than muted, and tests that assert nothing are deleted. A suite everyone trusts gets run before every release; a suite nobody trusts gets skipped, which is the state most organisations are already in.
- 03
Test against production-shaped data
Environments are created from infrastructure as code and seeded with synthetic data that carries production's volume, edge cases and messiness. Contract tests pin the interfaces with third-party systems, which is where upgrade risk actually lives.
- 04
Put the gates in the pipeline
Automated regression, contract and performance checks run on every change, and block rather than advise. Deployment becomes a routinely reversible, low-drama event with a rollback that has been rehearsed instead of assumed.
- 05
Rehearse the upgrade
For platform and ERP upgrades we run the full regression against the target release well before the change window, so the defects are found while there is still time to do something other than panic. This converts a quarter-long project into a scheduled exercise.
What you receive
Deliverables, stated up front
- Risk-based test strategy mapping business-critical behaviour to coverage
- Automated regression suite for the critical paths, running in CI
- Diagnosis and repair of flaky tests, with owned quarantine rules
- Test data management: synthetic generation at production-shaped volume
- Environment provisioning as code, with drift detection against production
- Consumer-driven contract tests for third-party and internal interfaces
- Pipeline gates with quality thresholds and automated rollback
- Upgrade rehearsal plan and a defect triage model for change windows
- Coverage-to-requirement traceability so tests can be changed and retired safely
You are a fit if
- An upgrade cycle consumes a quarter of manual regression effort
- The automated suite exists but is not trusted or is routinely bypassed
- Staging environments no longer resemble production
- Test data is copied from production or too small to be meaningful
- Releases are scheduled around the testing window rather than around the business
We will tell you it is a fit problem if
- There is no automated build or deployment pipeline yet — fix that first, or the tests have nowhere to run
- The team does not have the appetite to own the suite after handover, in which case it will rot within two quarters
- You want a coverage percentage reported to management rather than risk actually reduced
Systems we work with
Not on the list? We integrate against anything with an API, a database, a file interface or a documented import format.
Questions we get on this
Testing & release: the practical answers
Is 100% test coverage the goal?
Should we write the tests or should you?
How do you handle tests against third-party systems we do not control?
Our suite is already automated. Why would we need this?
Bring us the process you already know is costing too much
Thirty minutes with an engineer is usually enough to tell whether it is worth automating, roughly what it would save, and whether the payback is inside a window your finance team will accept. If the answer is no, we will say so on the call.